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48d9a3db-809f-417b-8229-55cb33fc6542 | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.4.md | unknown | 3dc9b5a4-0845-4945-9e5d-11fe7022899d | 8 | opea-semantic-v1 | 24512465a794326a | for enhanced accuracy and contextual relevance. ([GenAIExamples#1968](https://github.com/opea-project/GenAIExamples/pull/1968)) - <b>LLM Router</b>: LLM Router decides which downstream LLM serving endpoint is best suited for an incoming prompt.
([GenAIComps#1716](https://github.com/opea-project/GenAIComps/pull/1716))
-... | ai_ref_knowledge | OPEA Documentation | for enhanced accuracy and contextual relevance. ([GenAIExamples#1968](https://github.com/opea-project/GenAIExamples/pull/1968)) - <b>LLM Router</b>: LLM Router decides which downstream LLM serving endpoint is best suited for an incoming prompt.
([GenAIComps#1716](https://github.com/opea-project/GenAIComps/pull/1716))
-... | for enhanced accuracy and contextual relevance. ([GenAIExamples#1968](https://github.com/opea-project/GenAIExamples/pull/1968)) - <b>LLM Router</b>: LLM Router decides which downstream LLM serving endpoint is best suited for an incoming prompt.
([GenAIComps#1716](https://github.com/opea-project/GenAIComps/pull/1716))
-... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
54d0d393-ab0e-467a-a1a1-5218a3e8ffc5 | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.4.md | unknown | 3dc9b5a4-0845-4945-9e5d-11fe7022899d | 9 | opea-semantic-v1 | b9d87476fc6152c5 | safety and prevent the creation of inappropriate outputs. ([GenAIComps#1798](https://github.com/opea-project/GenAIComps/pull/1798)) - <b>Language Detection</b>: The microservice is used to ensure the pipeline's response matches the query's language.
([GenAIComps#1774](https://github.com/opea-project/GenAIComps/pull/177... | ai_ref_knowledge | OPEA Documentation | safety and prevent the creation of inappropriate outputs. ([GenAIComps#1798](https://github.com/opea-project/GenAIComps/pull/1798)) - <b>Language Detection</b>: The microservice is used to ensure the pipeline's response matches the query's language.
([GenAIComps#1774](https://github.com/opea-project/GenAIComps/pull/177... | safety and prevent the creation of inappropriate outputs. ([GenAIComps#1798](https://github.com/opea-project/GenAIComps/pull/1798)) - <b>Language Detection</b>: The microservice is used to ensure the pipeline's response matches the query's language.
([GenAIComps#1774](https://github.com/opea-project/GenAIComps/pull/177... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
5e9c7e8d-5a32-4ce3-9024-f96a5a4fc23a | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.4.md | unknown | 3dc9b5a4-0845-4945-9e5d-11fe7022899d | 11 | opea-semantic-v1 | 15901eee1f6af6da | ([GenAIStudio#61](https://github.com/opea-project/GenAIStudio/pull/61)) - <b>Documentation Refinement</b>: Refined READMEs for key examples and components to help readers easily locate documentation tailored to deployment, customization, and hardware. ([GenAIExamples#1673](https://github.com/opea-project/GenAIExamples/... | ai_ref_knowledge | OPEA Documentation | ([GenAIStudio#61](https://github.com/opea-project/GenAIStudio/pull/61)) - <b>Documentation Refinement</b>: Refined READMEs for key examples and components to help readers easily locate documentation tailored to deployment, customization, and hardware. ([GenAIExamples#1673](https://github.com/opea-project/GenAIExamples/... | ([GenAIStudio#61](https://github.com/opea-project/GenAIStudio/pull/61)) - <b>Documentation Refinement</b>: Refined READMEs for key examples and components to help readers easily locate documentation tailored to deployment, customization, and hardware. ([GenAIExamples#1673](https://github.com/opea-project/GenAIExamples/... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
5ef4ce23-8072-4aa5-8b7e-1716224131de | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.4.md | unknown | 3dc9b5a4-0845-4945-9e5d-11fe7022899d | 21 | opea-semantic-v1 | 29223d414f3a7eb7 | ## Known Issues - [AvatarChatbot](https://github.com/opea-project/GenAIExamples/tree/v1.4/AvatarChatbot) cannot run in a K8s environment due to a functional gap in the wav2clip service. ([GenAIExamples#1506](https://github.com/opea-project/GenAIExamples/pull/1506))
## Full Changelogs
- GenAIExamples: [v1.3...v1.4](http... | ai_ref_knowledge | OPEA Documentation | ## Known Issues - [AvatarChatbot](https://github.com/opea-project/GenAIExamples/tree/v1.4/AvatarChatbot) cannot run in a K8s environment due to a functional gap in the wav2clip service. ([GenAIExamples#1506](https://github.com/opea-project/GenAIExamples/pull/1506))
## Full Changelogs
- GenAIExamples: [v1.3...v1.4](http... | ## Known Issues - [AvatarChatbot](https://github.com/opea-project/GenAIExamples/tree/v1.4/AvatarChatbot) cannot run in a K8s environment due to a functional gap in the wav2clip service. ([GenAIExamples#1506](https://github.com/opea-project/GenAIExamples/pull/1506))
## Full Changelogs
- GenAIExamples: [v1.3...v1.4](http... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
758687a0-0064-4083-b2e1-38f01c80e1b2 | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.4.md | unknown | 3dc9b5a4-0845-4945-9e5d-11fe7022899d | 13 | opea-semantic-v1 | 17c9ea1928f03567 | - | - | ✓ | | meta-llama/Llama-4-Maverick-17B-128E-Instruct | - | - | - | - | - | - | - | ✓ |
(✓: supported; -: not validated; x: unsupported) | ai_ref_knowledge | OPEA Documentation | - | - | ✓ | | meta-llama/Llama-4-Maverick-17B-128E-Instruct | - | - | - | - | - | - | - | ✓ |
(✓: supported; -: not validated; x: unsupported) | - | - | ✓ | | meta-llama/Llama-4-Maverick-17B-128E-Instruct | - | - | - | - | - | - | - | ✓ |
(✓: supported; -: not validated; x: unsupported) | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
81274a8d-36fb-482e-a1ea-48c6a5afb7bc | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.4.md | unknown | 3dc9b5a4-0845-4945-9e5d-11fe7022899d | 20 | opea-semantic-v1 | 692b6298f007d78f | - TEI v1.7 - TGI v2.4.0 (Xeon, EPYC), v2.3.1 (Gaudi), v2.4.1 (ROCm) - Torch v2.5.1 - Ubuntu 22.04 - vLLM v0.10.0 (Xeon, EPYC), v0.6.6.post1+Gaudi-1.20.0 (Gaudi)
## Known Issues
- [AvatarChatbot](https://github.com/opea-project/GenAIExamples/tree/v1.4/AvatarChatbot) cannot run in a K8s environment due to a functional ga... | ai_ref_knowledge | OPEA Documentation | - TEI v1.7 - TGI v2.4.0 (Xeon, EPYC), v2.3.1 (Gaudi), v2.4.1 (ROCm) - Torch v2.5.1 - Ubuntu 22.04 - vLLM v0.10.0 (Xeon, EPYC), v0.6.6.post1+Gaudi-1.20.0 (Gaudi)
## Known Issues
- [AvatarChatbot](https://github.com/opea-project/GenAIExamples/tree/v1.4/AvatarChatbot) cannot run in a K8s environment due to a functional ga... | - TEI v1.7 - TGI v2.4.0 (Xeon, EPYC), v2.3.1 (Gaudi), v2.4.1 (ROCm) - Torch v2.5.1 - Ubuntu 22.04 - vLLM v0.10.0 (Xeon, EPYC), v0.6.6.post1+Gaudi-1.20.0 (Gaudi)
## Known Issues
- [AvatarChatbot](https://github.com/opea-project/GenAIExamples/tree/v1.4/AvatarChatbot) cannot run in a K8s environment due to a functional ga... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
87ab0ae5-95ed-4203-8b30-9c8b29e8f3c4 | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.4.md | unknown | 3dc9b5a4-0845-4945-9e5d-11fe7022899d | 15 | opea-semantic-v1 | 8f7ba486b359bd34 | ### Newly Supported Hardware - Support for AMD® EPYC™ has been added for 11 OPEA examples. ([GenAIExamples#2083](https://github.com/opea-project/GenAIExamples/pull/2083))
### Newly Supported OS
- Support for openEuler has been added. ([GenAIExamples#2088](https://github.com/opea-project/GenAIExamples/pull/2088), [GenAI... | ai_ref_knowledge | OPEA Documentation | ### Newly Supported Hardware - Support for AMD® EPYC™ has been added for 11 OPEA examples. ([GenAIExamples#2083](https://github.com/opea-project/GenAIExamples/pull/2083))
### Newly Supported OS
- Support for openEuler has been added. ([GenAIExamples#2088](https://github.com/opea-project/GenAIExamples/pull/2088), [GenAI... | ### Newly Supported Hardware - Support for AMD® EPYC™ has been added for 11 OPEA examples. ([GenAIExamples#2083](https://github.com/opea-project/GenAIExamples/pull/2083))
### Newly Supported OS
- Support for openEuler has been added. ([GenAIExamples#2088](https://github.com/opea-project/GenAIExamples/pull/2088), [GenAI... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
883d1396-ee23-43d0-9941-0d7dc95b3872 | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.4.md | unknown | 3dc9b5a4-0845-4945-9e5d-11fe7022899d | 3 | opea-semantic-v1 | bb051134ea1e4384 | - [Changes to Default Behavior](#changes-to-default-behavior) - [Validated Hardware](#validated-hardware) - [Validated Software](#validated-software) - [Known Issues](#known-issues) - [Full Changelogs](#full-changelogs) - [Contributors](#contributors) - [Contributing Organizations](#contributing-organizations) - [Indiv... | ai_ref_knowledge | OPEA Documentation | - [Changes to Default Behavior](#changes-to-default-behavior) - [Validated Hardware](#validated-hardware) - [Validated Software](#validated-software) - [Known Issues](#known-issues) - [Full Changelogs](#full-changelogs) - [Contributors](#contributors) - [Contributing Organizations](#contributing-organizations) - [Indiv... | - [Changes to Default Behavior](#changes-to-default-behavior) - [Validated Hardware](#validated-hardware) - [Validated Software](#validated-software) - [Known Issues](#known-issues) - [Full Changelogs](#full-changelogs) - [Contributors](#contributors) - [Contributing Organizations](#contributing-organizations) - [Indiv... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
9336b162-c397-43ce-ae63-152e9deabe0e | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.4.md | unknown | 3dc9b5a4-0845-4945-9e5d-11fe7022899d | 0 | opea-semantic-v1 | 7921884a041e9d19 | # OPEA Release Notes v1.4
We are excited to announce the release of OPEA version 1.4, which includes significant contributions from the open-source community. This release addresses over 330 pull requests. | ai_ref_knowledge | OPEA Documentation | # OPEA Release Notes v1.4
We are excited to announce the release of OPEA version 1.4, which includes significant contributions from the open-source community. This release addresses over 330 pull requests. | # OPEA Release Notes v1.4
We are excited to announce the release of OPEA version 1.4, which includes significant contributions from the open-source community. This release addresses over 330 pull requests. | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
a1ba8393-8e34-4712-82b4-d1d48a8db810 | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.4.md | unknown | 3dc9b5a4-0845-4945-9e5d-11fe7022899d | 1 | opea-semantic-v1 | 5c72a6a08f505914 | are excited to announce the release of OPEA version 1.4, which includes significant contributions from the open-source community. This release addresses over 330 pull requests.
More information about how to get started with OPEA v1.4 can be found on the [Getting Started](https://opea-project.github.io/latest/index.html... | ai_ref_knowledge | OPEA Documentation | are excited to announce the release of OPEA version 1.4, which includes significant contributions from the open-source community. This release addresses over 330 pull requests.
More information about how to get started with OPEA v1.4 can be found on the [Getting Started](https://opea-project.github.io/latest/index.html... | are excited to announce the release of OPEA version 1.4, which includes significant contributions from the open-source community. This release addresses over 330 pull requests.
More information about how to get started with OPEA v1.4 can be found on the [Getting Started](https://opea-project.github.io/latest/index.html... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
a3b3cdce-d939-4b96-930b-d8b1bc5bf6f8 | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.4.md | unknown | 3dc9b5a4-0845-4945-9e5d-11fe7022899d | 5 | opea-semantic-v1 | 6e4a72d51f7c970e | services. ([GenAIComps#1678](https://github.com/opea-project/GenAIComps/pull/1678), [GenAIComps#1810](https://github.com/opea-project/GenAIComps/pull/1810)) - <b>Deep Research Agent</b>: The [example](https://github.com/opea-project/GenAIExamples/tree/v1.4/DeepResearchAgent) is designed to handle complex, multi-step re... | ai_ref_knowledge | OPEA Documentation | services. ([GenAIComps#1678](https://github.com/opea-project/GenAIComps/pull/1678), [GenAIComps#1810](https://github.com/opea-project/GenAIComps/pull/1810)) - <b>Deep Research Agent</b>: The [example](https://github.com/opea-project/GenAIExamples/tree/v1.4/DeepResearchAgent) is designed to handle complex, multi-step re... | services. ([GenAIComps#1678](https://github.com/opea-project/GenAIComps/pull/1678), [GenAIComps#1810](https://github.com/opea-project/GenAIComps/pull/1810)) - <b>Deep Research Agent</b>: The [example](https://github.com/opea-project/GenAIExamples/tree/v1.4/DeepResearchAgent) is designed to handle complex, multi-step re... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
a805bc4b-6789-4d4a-a866-6ee89793621c | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.4.md | unknown | 3dc9b5a4-0845-4945-9e5d-11fe7022899d | 14 | opea-semantic-v1 | 8dd2f400d5948634 | (✓: supported; -: not validated; x: unsupported)
### Newly Supported Hardware
- Support for AMD® EPYC™ has been added for 11 OPEA examples. ([GenAIExamples#2083](https://github.com/opea-project/GenAIExamples/pull/2083)) | ai_ref_knowledge | OPEA Documentation | (✓: supported; -: not validated; x: unsupported)
### Newly Supported Hardware
- Support for AMD® EPYC™ has been added for 11 OPEA examples. ([GenAIExamples#2083](https://github.com/opea-project/GenAIExamples/pull/2083)) | (✓: supported; -: not validated; x: unsupported)
### Newly Supported Hardware
- Support for AMD® EPYC™ has been added for 11 OPEA examples. ([GenAIExamples#2083](https://github.com/opea-project/GenAIExamples/pull/2083)) | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
bd01ef27-c30c-448a-84d9-3f25bf0ebe73 | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.4.md | unknown | 3dc9b5a4-0845-4945-9e5d-11fe7022899d | 17 | opea-semantic-v1 | 8e9a9b30c6ae01de | | Dependency | Hardware | Scope | Version | Version in OPEA v1.3 | Comments | |--|--|--|--|--|--| |huggingface/text-embeddings-inference|all|all supported examples|cpu-1.7|cpu-1.6|| |vllm|Xeon|all supported examples except EdgeCraftRAG|v0.10.0|v0.8.3||
## Changes to Default Behavior
- `CodeTrans`: The default model cha... | ai_ref_knowledge | OPEA Documentation | | Dependency | Hardware | Scope | Version | Version in OPEA v1.3 | Comments | |--|--|--|--|--|--| |huggingface/text-embeddings-inference|all|all supported examples|cpu-1.7|cpu-1.6|| |vllm|Xeon|all supported examples except EdgeCraftRAG|v0.10.0|v0.8.3||
## Changes to Default Behavior
- `CodeTrans`: The default model cha... | | Dependency | Hardware | Scope | Version | Version in OPEA v1.3 | Comments | |--|--|--|--|--|--| |huggingface/text-embeddings-inference|all|all supported examples|cpu-1.7|cpu-1.6|| |vllm|Xeon|all supported examples except EdgeCraftRAG|v0.10.0|v0.8.3||
## Changes to Default Behavior
- `CodeTrans`: The default model cha... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
d395de86-9afc-4c61-93e6-5f9b3cbf11c1 | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.4.md | unknown | 3dc9b5a4-0845-4945-9e5d-11fe7022899d | 23 | opea-semantic-v1 | e633135487106f9f | ## Contributors This release would not have been possible without the contributions of the following organizations and individuals.
### Contributing Organizations
- `AMD`: AMD EPYC support. - `Bud`: Components as MCP Servers. - `Intel`: Development and improvements to GenAI examples, components, infrastructure, evaluat... | ai_ref_knowledge | OPEA Documentation | ## Contributors This release would not have been possible without the contributions of the following organizations and individuals.
### Contributing Organizations
- `AMD`: AMD EPYC support. - `Bud`: Components as MCP Servers. - `Intel`: Development and improvements to GenAI examples, components, infrastructure, evaluat... | ## Contributors This release would not have been possible without the contributions of the following organizations and individuals.
### Contributing Organizations
- `AMD`: AMD EPYC support. - `Bud`: Components as MCP Servers. - `Intel`: Development and improvements to GenAI examples, components, infrastructure, evaluat... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
d9d42400-b3da-4f08-998d-ca76f2bd085a | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.4.md | unknown | 3dc9b5a4-0845-4945-9e5d-11fe7022899d | 22 | opea-semantic-v1 | b992bb45cf57a704 | ## Full Changelogs - GenAIExamples: [v1.3...v1.4](https://github.com/opea-project/GenAIExamples/compare/v1.3...v1.4) - GenAIComps: [v1.3...v1.4](https://github.com/opea-project/GenAIComps/compare/v1.3...v1.4) - GenAIInfra: [v1.3...v1.4](https://github.com/opea-project/GenAIInfra/compare/v1.3...v1.4) - GenAIEval: [v1.3.... | ai_ref_knowledge | OPEA Documentation | ## Full Changelogs - GenAIExamples: [v1.3...v1.4](https://github.com/opea-project/GenAIExamples/compare/v1.3...v1.4) - GenAIComps: [v1.3...v1.4](https://github.com/opea-project/GenAIComps/compare/v1.3...v1.4) - GenAIInfra: [v1.3...v1.4](https://github.com/opea-project/GenAIInfra/compare/v1.3...v1.4) - GenAIEval: [v1.3.... | ## Full Changelogs - GenAIExamples: [v1.3...v1.4](https://github.com/opea-project/GenAIExamples/compare/v1.3...v1.4) - GenAIComps: [v1.3...v1.4](https://github.com/opea-project/GenAIComps/compare/v1.3...v1.4) - GenAIInfra: [v1.3...v1.4](https://github.com/opea-project/GenAIInfra/compare/v1.3...v1.4) - GenAIEval: [v1.3.... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
e26935b9-6e18-4d7f-981f-a85fe7336116 | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.4.md | unknown | 3dc9b5a4-0845-4945-9e5d-11fe7022899d | 16 | opea-semantic-v1 | d5944f9ec72fb45e | ## Updated Dependencies
| Dependency | Hardware | Scope | Version | Version in OPEA v1.3 | Comments |
|--|--|--|--|--|--|
|huggingface/text-embeddings-inference|all|all supported examples|cpu-1.7|cpu-1.6||
|vllm|Xeon|all supported examples except EdgeCraftRAG|v0.10.0|v0.8.3|| | ai_ref_knowledge | OPEA Documentation | ## Updated Dependencies
| Dependency | Hardware | Scope | Version | Version in OPEA v1.3 | Comments |
|--|--|--|--|--|--|
|huggingface/text-embeddings-inference|all|all supported examples|cpu-1.7|cpu-1.6||
|vllm|Xeon|all supported examples except EdgeCraftRAG|v0.10.0|v0.8.3|| | ## Updated Dependencies
| Dependency | Hardware | Scope | Version | Version in OPEA v1.3 | Comments |
|--|--|--|--|--|--|
|huggingface/text-embeddings-inference|all|all supported examples|cpu-1.7|cpu-1.6||
|vllm|Xeon|all supported examples except EdgeCraftRAG|v0.10.0|v0.8.3|| | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
e57b45a8-ec01-46eb-9489-92349e8ee5fd | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.4.md | unknown | 3dc9b5a4-0845-4945-9e5d-11fe7022899d | 19 | opea-semantic-v1 | 0b07504aa6a19823 | Hardware - Intel® Gaudi® AI Accelerators (2nd) - Intel® Xeon® Scalable processor (3rd) - Intel® Arc™ Graphics GPU (A770) - AMD® EPYC™ processors (4th, 5th)
## Validated Software
- Docker version 28.3.3
- Docker Compose version v2.39.1
- Intel® Gaudi® software and drivers [v1.21](https://docs.habana.ai/en/v1.21.3/Instal... | ai_ref_knowledge | OPEA Documentation | Hardware - Intel® Gaudi® AI Accelerators (2nd) - Intel® Xeon® Scalable processor (3rd) - Intel® Arc™ Graphics GPU (A770) - AMD® EPYC™ processors (4th, 5th)
## Validated Software
- Docker version 28.3.3
- Docker Compose version v2.39.1
- Intel® Gaudi® software and drivers [v1.21](https://docs.habana.ai/en/v1.21.3/Instal... | Hardware - Intel® Gaudi® AI Accelerators (2nd) - Intel® Xeon® Scalable processor (3rd) - Intel® Arc™ Graphics GPU (A770) - AMD® EPYC™ processors (4th, 5th)
## Validated Software
- Docker version 28.3.3
- Docker Compose version v2.39.1
- Intel® Gaudi® software and drivers [v1.21](https://docs.habana.ai/en/v1.21.3/Instal... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
eef34012-528b-44b2-903a-f731bc17b3de | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.4.md | unknown | 3dc9b5a4-0845-4945-9e5d-11fe7022899d | 10 | opea-semantic-v1 | b42ba9d1f3fea382 | can now be deployed in an air-gapped Docker environment. ([GenAIComps#1480](https://github.com/opea-project/GenAIComps/issues/1480)) - <b>Remote Inference Endpoints Support</b>: Added support for remote inference endpoints for OPEA examples. ([GenAIExamples#1973](https://github.com/opea-project/GenAIExamples/issues/197... | ai_ref_knowledge | OPEA Documentation | can now be deployed in an air-gapped Docker environment. ([GenAIComps#1480](https://github.com/opea-project/GenAIComps/issues/1480)) - <b>Remote Inference Endpoints Support</b>: Added support for remote inference endpoints for OPEA examples. ([GenAIExamples#1973](https://github.com/opea-project/GenAIExamples/issues/197... | can now be deployed in an air-gapped Docker environment. ([GenAIComps#1480](https://github.com/opea-project/GenAIComps/issues/1480)) - <b>Remote Inference Endpoints Support</b>: Added support for remote inference endpoints for OPEA examples. ([GenAIExamples#1973](https://github.com/opea-project/GenAIExamples/issues/197... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
fc696270-decf-419e-92d2-f82209d7dabb | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.4.md | unknown | 3dc9b5a4-0845-4945-9e5d-11fe7022899d | 6 | opea-semantic-v1 | 22b62dfb7e6e087d | MCP Servers OPEA components can now serve as Model Context Protocol (MCP) servers, allowing external MCP-compatible frameworks and applications to integrate with OPEA seamlessly. ([GenAIComps#1652](https://github.com/opea-project/GenAIComps/issues/1652))
### KubeAI Operator for OPEA
The KubeAI Operator now features an ... | ai_ref_knowledge | OPEA Documentation | MCP Servers OPEA components can now serve as Model Context Protocol (MCP) servers, allowing external MCP-compatible frameworks and applications to integrate with OPEA seamlessly. ([GenAIComps#1652](https://github.com/opea-project/GenAIComps/issues/1652))
### KubeAI Operator for OPEA
The KubeAI Operator now features an ... | MCP Servers OPEA components can now serve as Model Context Protocol (MCP) servers, allowing external MCP-compatible frameworks and applications to integrate with OPEA seamlessly. ([GenAIComps#1652](https://github.com/opea-project/GenAIComps/issues/1652))
### KubeAI Operator for OPEA
The KubeAI Operator now features an ... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
02312245-0fb6-4f74-8b64-83889b84e38a | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.5.md | unknown | a39e7cbf-4bd3-42ee-a914-1e102a8df4f9 | 5 | opea-semantic-v1 | c03408bca4deb63d | or arbitration-related documents. ([GenAIExamples#2309](https://github.com/opea-project/GenAIExamples/pull/2309)) - <b>Polylingua Translation Service</b>: a new use case for translation. ([GenAIComps#2298](https://github.com/opea-project/GenAIExamples/pull/2298)) - <b>OpenAI-Compatible Endpoint Support</b>: ChatQnA now... | ai_ref_knowledge | OPEA Documentation | or arbitration-related documents. ([GenAIExamples#2309](https://github.com/opea-project/GenAIExamples/pull/2309)) - <b>Polylingua Translation Service</b>: a new use case for translation. ([GenAIComps#2298](https://github.com/opea-project/GenAIExamples/pull/2298)) - <b>OpenAI-Compatible Endpoint Support</b>: ChatQnA now... | or arbitration-related documents. ([GenAIExamples#2309](https://github.com/opea-project/GenAIExamples/pull/2309)) - <b>Polylingua Translation Service</b>: a new use case for translation. ([GenAIComps#2298](https://github.com/opea-project/GenAIExamples/pull/2298)) - <b>OpenAI-Compatible Endpoint Support</b>: ChatQnA now... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
0a933e2f-26e0-4d21-8b0d-e80f2fd8ec7d | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.5.md | unknown | a39e7cbf-4bd3-42ee-a914-1e102a8df4f9 | 3 | opea-semantic-v1 | 406a8f79a986b7d7 | - [GenAI Examples](#genai-examples) - [GenAI Microservices](#genai-microservices) - [Productization](#productization) - [Validated Hardware](#validated-hardware) - [Validated Software](#validated-software) - [Full Changelogs](#full-changelogs) - [Contributors](#contributors) - [Contributing Organizations](#contributing... | ai_ref_knowledge | OPEA Documentation | - [GenAI Examples](#genai-examples) - [GenAI Microservices](#genai-microservices) - [Productization](#productization) - [Validated Hardware](#validated-hardware) - [Validated Software](#validated-software) - [Full Changelogs](#full-changelogs) - [Contributors](#contributors) - [Contributing Organizations](#contributing... | - [GenAI Examples](#genai-examples) - [GenAI Microservices](#genai-microservices) - [Productization](#productization) - [Validated Hardware](#validated-hardware) - [Validated Software](#validated-software) - [Full Changelogs](#full-changelogs) - [Contributors](#contributors) - [Contributing Organizations](#contributing... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
46c88890-e9a4-4402-9578-e1a1ad3ba53f | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.5.md | unknown | a39e7cbf-4bd3-42ee-a914-1e102a8df4f9 | 2 | opea-semantic-v1 | 5717d41c730620ce | maintained in the [opea-project organization](https://github.com/opea-project). To pull Docker images, please access the [Docker Hub](https://hub.docker.com/u/opea). For instructions on deploying Helm Charts, please refer to the [guide](https://github.com/opea-project/GenAIInfra/tree/v1.5/helm-charts#readme).
## Table ... | ai_ref_knowledge | OPEA Documentation | maintained in the [opea-project organization](https://github.com/opea-project). To pull Docker images, please access the [Docker Hub](https://hub.docker.com/u/opea). For instructions on deploying Helm Charts, please refer to the [guide](https://github.com/opea-project/GenAIInfra/tree/v1.5/helm-charts#readme).
## Table ... | maintained in the [opea-project organization](https://github.com/opea-project). To pull Docker images, please access the [Docker Hub](https://hub.docker.com/u/opea). For instructions on deploying Helm Charts, please refer to the [guide](https://github.com/opea-project/GenAIInfra/tree/v1.5/helm-charts#readme).
## Table ... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
478acdb1-36f2-4ba5-90e2-046f609e595c | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.5.md | unknown | a39e7cbf-4bd3-42ee-a914-1e102a8df4f9 | 11 | opea-semantic-v1 | 3353aaea4aac8039 | ([GenAIExamples#2267](https://github.com/opea-project/GenAIExamples/pull/2267)) - <b>Documentation Refinement</b>: Refined READMEs for all the components to help readers easily locate documentation tailored to deployment, customization, and hardware.
## Validated Hardware
- Intel® Gaudi® AI Accelerators (2nd)
- Intel® ... | ai_ref_knowledge | OPEA Documentation | ([GenAIExamples#2267](https://github.com/opea-project/GenAIExamples/pull/2267)) - <b>Documentation Refinement</b>: Refined READMEs for all the components to help readers easily locate documentation tailored to deployment, customization, and hardware.
## Validated Hardware
- Intel® Gaudi® AI Accelerators (2nd)
- Intel® ... | ([GenAIExamples#2267](https://github.com/opea-project/GenAIExamples/pull/2267)) - <b>Documentation Refinement</b>: Refined READMEs for all the components to help readers easily locate documentation tailored to deployment, customization, and hardware.
## Validated Hardware
- Intel® Gaudi® AI Accelerators (2nd)
- Intel® ... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
5b1befca-6a22-463d-9025-cb007e13dd07 | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.5.md | unknown | a39e7cbf-4bd3-42ee-a914-1e102a8df4f9 | 13 | opea-semantic-v1 | 040d6f786a355271 | ## Full Changelogs - GenAIExamples: [v1.4...v1.5](https://github.com/opea-project/GenAIExamples/compare/v1.4...v1.5) - GenAIComps: [v1.4...v1.5](https://github.com/opea-project/GenAIComps/compare/v1.4...v1.5) - GenAIInfra: [v1.4...v1.5](https://github.com/opea-project/GenAIInfra/compare/v1.4...v1.5) - GenAIEval: [v1.4.... | ai_ref_knowledge | OPEA Documentation | ## Full Changelogs - GenAIExamples: [v1.4...v1.5](https://github.com/opea-project/GenAIExamples/compare/v1.4...v1.5) - GenAIComps: [v1.4...v1.5](https://github.com/opea-project/GenAIComps/compare/v1.4...v1.5) - GenAIInfra: [v1.4...v1.5](https://github.com/opea-project/GenAIInfra/compare/v1.4...v1.5) - GenAIEval: [v1.4.... | ## Full Changelogs - GenAIExamples: [v1.4...v1.5](https://github.com/opea-project/GenAIExamples/compare/v1.4...v1.5) - GenAIComps: [v1.4...v1.5](https://github.com/opea-project/GenAIComps/compare/v1.4...v1.5) - GenAIInfra: [v1.4...v1.5](https://github.com/opea-project/GenAIInfra/compare/v1.4...v1.5) - GenAIEval: [v1.4.... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
6e11f548-d302-40dd-bb79-3bbbbd50fdad | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.5.md | unknown | a39e7cbf-4bd3-42ee-a914-1e102a8df4f9 | 9 | opea-semantic-v1 | 8208eed4f36f3d47 | ### Productization
- <b>Enhanced Monitoring</b>: Added monitoring for 8 key GenAI Examples. ([GenAIExamples#2316](https://github.com/opea-project/GenAIExamples/pull/2316),[GenAIExamples#2318](https://github.com/opea-project/GenAIExamples/pull/2318),[GenAIExamples#2319](https://github.com/opea-project/GenAIExamples/pull... | ai_ref_knowledge | OPEA Documentation | ### Productization
- <b>Enhanced Monitoring</b>: Added monitoring for 8 key GenAI Examples. ([GenAIExamples#2316](https://github.com/opea-project/GenAIExamples/pull/2316),[GenAIExamples#2318](https://github.com/opea-project/GenAIExamples/pull/2318),[GenAIExamples#2319](https://github.com/opea-project/GenAIExamples/pull... | ### Productization
- <b>Enhanced Monitoring</b>: Added monitoring for 8 key GenAI Examples. ([GenAIExamples#2316](https://github.com/opea-project/GenAIExamples/pull/2316),[GenAIExamples#2318](https://github.com/opea-project/GenAIExamples/pull/2318),[GenAIExamples#2319](https://github.com/opea-project/GenAIExamples/pull... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
73fb9fd9-3152-4774-a034-91e08b7579d8 | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.5.md | unknown | a39e7cbf-4bd3-42ee-a914-1e102a8df4f9 | 6 | opea-semantic-v1 | 7b394fdf32f59bc2 | ([GenAIComps#2091](https://github.com/opea-project/GenAIExamples/pull/2091))
### GenAI Microservices
- <b>Text2Query</b>: a specialized, independent service designed to translate natural language queries into structured query languages. ([GenAIComps#1931](https://github.com/opea-project/GenAIComps/pull/1931))
- <b>Ar... | ai_ref_knowledge | OPEA Documentation | ([GenAIComps#2091](https://github.com/opea-project/GenAIExamples/pull/2091))
### GenAI Microservices
- <b>Text2Query</b>: a specialized, independent service designed to translate natural language queries into structured query languages. ([GenAIComps#1931](https://github.com/opea-project/GenAIComps/pull/1931))
- <b>Ar... | ([GenAIComps#2091](https://github.com/opea-project/GenAIExamples/pull/2091))
### GenAI Microservices
- <b>Text2Query</b>: a specialized, independent service designed to translate natural language queries into structured query languages. ([GenAIComps#1931](https://github.com/opea-project/GenAIComps/pull/1931))
- <b>Ar... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
8bf9a77c-e531-4efa-866e-631d70218d2b | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.5.md | unknown | a39e7cbf-4bd3-42ee-a914-1e102a8df4f9 | 8 | opea-semantic-v1 | 7e1c73ffdc5f23c9 | Support</b>: Enabling openEuler OS Support for OPEA Components. ([GenAIComps#1813](https://github.com/opea-project/GenAIComps/pull/1813), [GenAIComps#1875](https://github.com/opea-project/GenAIComps/pull/1875), [GenAIComps#1879](https://github.com/opea-project/GenAIComps/pull/1879), [GenAIComps#1913](https://github.com... | ai_ref_knowledge | OPEA Documentation | Support</b>: Enabling openEuler OS Support for OPEA Components. ([GenAIComps#1813](https://github.com/opea-project/GenAIComps/pull/1813), [GenAIComps#1875](https://github.com/opea-project/GenAIComps/pull/1875), [GenAIComps#1879](https://github.com/opea-project/GenAIComps/pull/1879), [GenAIComps#1913](https://github.com... | Support</b>: Enabling openEuler OS Support for OPEA Components. ([GenAIComps#1813](https://github.com/opea-project/GenAIComps/pull/1813), [GenAIComps#1875](https://github.com/opea-project/GenAIComps/pull/1875), [GenAIComps#1879](https://github.com/opea-project/GenAIComps/pull/1879), [GenAIComps#1913](https://github.com... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
ada02019-2d7c-4afa-ae9f-25824d4f2b53 | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.5.md | unknown | a39e7cbf-4bd3-42ee-a914-1e102a8df4f9 | 0 | opea-semantic-v1 | 009bce9ae4e7eba6 | # OPEA Release Notes v1.5
We are excited to announce the release of OPEA version 1.5, which includes significant contributions from the open-source community. | ai_ref_knowledge | OPEA Documentation | # OPEA Release Notes v1.5
We are excited to announce the release of OPEA version 1.5, which includes significant contributions from the open-source community. | # OPEA Release Notes v1.5
We are excited to announce the release of OPEA version 1.5, which includes significant contributions from the open-source community. | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
b854b3fc-1bf0-4513-bb2d-33cdc2c3b18f | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.5.md | unknown | a39e7cbf-4bd3-42ee-a914-1e102a8df4f9 | 10 | opea-semantic-v1 | aaa1a0b44c169101 | GenAI Examples. ([GenAIExamples#2316](https://github.com/opea-project/GenAIExamples/pull/2316),[GenAIExamples#2318](https://github.com/opea-project/GenAIExamples/pull/2318),[GenAIExamples#2319](https://github.com/opea-project/GenAIExamples/pull/2319),[GenAIExamples#2322](https://github.com/opea-project/GenAIExamples/pu... | ai_ref_knowledge | OPEA Documentation | GenAI Examples. ([GenAIExamples#2316](https://github.com/opea-project/GenAIExamples/pull/2316),[GenAIExamples#2318](https://github.com/opea-project/GenAIExamples/pull/2318),[GenAIExamples#2319](https://github.com/opea-project/GenAIExamples/pull/2319),[GenAIExamples#2322](https://github.com/opea-project/GenAIExamples/pu... | GenAI Examples. ([GenAIExamples#2316](https://github.com/opea-project/GenAIExamples/pull/2316),[GenAIExamples#2318](https://github.com/opea-project/GenAIExamples/pull/2318),[GenAIExamples#2319](https://github.com/opea-project/GenAIExamples/pull/2319),[GenAIExamples#2322](https://github.com/opea-project/GenAIExamples/pu... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
c0b9e7b2-b7be-458d-b423-16da95bd6eb4 | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.5.md | unknown | a39e7cbf-4bd3-42ee-a914-1e102a8df4f9 | 4 | opea-semantic-v1 | 30df0a272fa7a7f2 | ### GenAI Examples
- <b>Browser-use Agent</b>: a new use case to empower anyone to automate repetitive web tasks. It controls your web browser to perform tasks like visiting websites and extracting data. ([GenAIExamples#2312](https://github.com/opea-project/GenAIExamples/pull/2312))
- <b>Arbitration Post Hearing Assis... | ai_ref_knowledge | OPEA Documentation | ### GenAI Examples
- <b>Browser-use Agent</b>: a new use case to empower anyone to automate repetitive web tasks. It controls your web browser to perform tasks like visiting websites and extracting data. ([GenAIExamples#2312](https://github.com/opea-project/GenAIExamples/pull/2312))
- <b>Arbitration Post Hearing Assis... | ### GenAI Examples
- <b>Browser-use Agent</b>: a new use case to empower anyone to automate repetitive web tasks. It controls your web browser to perform tasks like visiting websites and extracting data. ([GenAIExamples#2312](https://github.com/opea-project/GenAIExamples/pull/2312))
- <b>Arbitration Post Hearing Assis... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
c2ff119a-aabd-47ed-b2ed-20068efb88cf | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.5.md | unknown | a39e7cbf-4bd3-42ee-a914-1e102a8df4f9 | 1 | opea-semantic-v1 | 9262959ad70f97b0 | # OPEA Release Notes v1.5 We are excited to announce the release of OPEA version 1.5, which includes significant contributions from the open-source community.
More information about how to get started with OPEA v1.5 can be found on the [Getting Started](https://opea-project.github.io/latest/index.html) page. All projec... | ai_ref_knowledge | OPEA Documentation | # OPEA Release Notes v1.5 We are excited to announce the release of OPEA version 1.5, which includes significant contributions from the open-source community.
More information about how to get started with OPEA v1.5 can be found on the [Getting Started](https://opea-project.github.io/latest/index.html) page. All projec... | # OPEA Release Notes v1.5 We are excited to announce the release of OPEA version 1.5, which includes significant contributions from the open-source community.
More information about how to get started with OPEA v1.5 can be found on the [Getting Started](https://opea-project.github.io/latest/index.html) page. All projec... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
d13cb40e-3497-41f1-a0d1-f5ccaa605317 | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.5.md | unknown | a39e7cbf-4bd3-42ee-a914-1e102a8df4f9 | 15 | opea-semantic-v1 | 42af3867b44be466 | Servers. - `Intel`: Development and improvements to GenAI examples, components, infrastructure, evaluation, and studio. - `openEuler`: openEuler OS support. - `Zensar`: Arbitration Post Hearing Assistant.
### Individual Contributors
For a comprehensive list of individual contributors, please refer to the [Full Changelo... | ai_ref_knowledge | OPEA Documentation | Servers. - `Intel`: Development and improvements to GenAI examples, components, infrastructure, evaluation, and studio. - `openEuler`: openEuler OS support. - `Zensar`: Arbitration Post Hearing Assistant.
### Individual Contributors
For a comprehensive list of individual contributors, please refer to the [Full Changelo... | Servers. - `Intel`: Development and improvements to GenAI examples, components, infrastructure, evaluation, and studio. - `openEuler`: openEuler OS support. - `Zensar`: Arbitration Post Hearing Assistant.
### Individual Contributors
For a comprehensive list of individual contributors, please refer to the [Full Changelo... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
d1403453-bda8-4f66-843b-f78e83fc312b | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.5.md | unknown | a39e7cbf-4bd3-42ee-a914-1e102a8df4f9 | 7 | opea-semantic-v1 | 0e591dddcb34b599 | to ASR microservice to support Paraformer, a non-autoregressive end-to-end speech recognition model. ([GenAIComps#1914](https://github.com/opea-project/GenAIComps/pull/1914)) - <b>LLM Scaler</b>: Boosted LLM/LVM performance on ARC GPU by llm-scaler-vllm v0.10.0-b4.
([GenAIComps#1914](https://github.com/opea-project/Gen... | ai_ref_knowledge | OPEA Documentation | to ASR microservice to support Paraformer, a non-autoregressive end-to-end speech recognition model. ([GenAIComps#1914](https://github.com/opea-project/GenAIComps/pull/1914)) - <b>LLM Scaler</b>: Boosted LLM/LVM performance on ARC GPU by llm-scaler-vllm v0.10.0-b4.
([GenAIComps#1914](https://github.com/opea-project/Gen... | to ASR microservice to support Paraformer, a non-autoregressive end-to-end speech recognition model. ([GenAIComps#1914](https://github.com/opea-project/GenAIComps/pull/1914)) - <b>LLM Scaler</b>: Boosted LLM/LVM performance on ARC GPU by llm-scaler-vllm v0.10.0-b4.
([GenAIComps#1914](https://github.com/opea-project/Gen... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
d21aef61-f0d7-47a3-9138-6a48ef620a72 | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.5.md | unknown | a39e7cbf-4bd3-42ee-a914-1e102a8df4f9 | 14 | opea-semantic-v1 | 307d88e7188eadac | ## Contributors This release would not have been possible without the contributions of the following organizations and individuals.
### Contributing Organizations
- `Bud`: Polylingua Translation Service, Components as MCP Servers. - `Intel`: Development and improvements to GenAI examples, components, infrastructure, ev... | ai_ref_knowledge | OPEA Documentation | ## Contributors This release would not have been possible without the contributions of the following organizations and individuals.
### Contributing Organizations
- `Bud`: Polylingua Translation Service, Components as MCP Servers. - `Intel`: Development and improvements to GenAI examples, components, infrastructure, ev... | ## Contributors This release would not have been possible without the contributions of the following organizations and individuals.
### Contributing Organizations
- `Bud`: Polylingua Translation Service, Components as MCP Servers. - `Intel`: Development and improvements to GenAI examples, components, infrastructure, ev... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
f863b634-1a9d-48e7-b97d-5d09631c1b89 | OPEA Documentation | file://datasets/opea-docs/release_notes/v1.5.md | unknown | a39e7cbf-4bd3-42ee-a914-1e102a8df4f9 | 12 | opea-semantic-v1 | f859ec5f2c558720 | - Intel® Gaudi® software and drivers [v1.22.1](https://docs.habana.ai/en/v1.22.1/Installation_Guide/) - TEI v1.7 - TGI v2.4.0 (Xeon), v2.3.1 (Gaudi) - Ubuntu 22.04 - vLLM v0.10.1 (Xeon), opea/vllm-gaudi:1.22.0 (Gaudi)
## Full Changelogs
- GenAIExamples: [v1.4...v1.5](https://github.com/opea-project/GenAIExamples/compar... | ai_ref_knowledge | OPEA Documentation | - Intel® Gaudi® software and drivers [v1.22.1](https://docs.habana.ai/en/v1.22.1/Installation_Guide/) - TEI v1.7 - TGI v2.4.0 (Xeon), v2.3.1 (Gaudi) - Ubuntu 22.04 - vLLM v0.10.1 (Xeon), opea/vllm-gaudi:1.22.0 (Gaudi)
## Full Changelogs
- GenAIExamples: [v1.4...v1.5](https://github.com/opea-project/GenAIExamples/compar... | - Intel® Gaudi® software and drivers [v1.22.1](https://docs.habana.ai/en/v1.22.1/Installation_Guide/) - TEI v1.7 - TGI v2.4.0 (Xeon), v2.3.1 (Gaudi) - Ubuntu 22.04 - vLLM v0.10.1 (Xeon), opea/vllm-gaudi:1.22.0 (Gaudi)
## Full Changelogs
- GenAIExamples: [v1.4...v1.5](https://github.com/opea-project/GenAIExamples/compar... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
03b1c096-a863-4867-abe2-3eccd61ef012 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 7 | opea-semantic-v1 | 42e2680f5a459e97 | - **Use Cases/Examples** - DocSum - SearchQnA
- **Cloud Native**
- OneClick OPEA for 2 more examples
- GMC with switch support (dynamic pipelines)
- Helm charts/templates for custom yamls (refactoring) | ai_ref_knowledge | OPEA Documentation | - **Use Cases/Examples** - DocSum - SearchQnA
- **Cloud Native**
- OneClick OPEA for 2 more examples
- GMC with switch support (dynamic pipelines)
- Helm charts/templates for custom yamls (refactoring) | - **Use Cases/Examples** - DocSum - SearchQnA
- **Cloud Native**
- OneClick OPEA for 2 more examples
- GMC with switch support (dynamic pipelines)
- Helm charts/templates for custom yamls (refactoring) | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
04126fb7-06f3-4748-8165-0fbed296bece | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 0 | opea-semantic-v1 | bfdcb689f2c142db | ### Contribution
- **Components**
- ASR
- Data Prep
- Embedding
- Guardrails
- LLM (Gaudi TGI)
- Rerank
- Retrieval
- TTS
- VectorDB | ai_ref_knowledge | OPEA Documentation | ### Contribution
- **Components**
- ASR
- Data Prep
- Embedding
- Guardrails
- LLM (Gaudi TGI)
- Rerank
- Retrieval
- TTS
- VectorDB | ### Contribution
- **Components**
- ASR
- Data Prep
- Embedding
- Guardrails
- LLM (Gaudi TGI)
- Rerank
- Retrieval
- TTS
- VectorDB | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
0620ef2a-697b-4cd5-b617-279c706d6128 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 31 | opea-semantic-v1 | c9b6606355dc4492 | - **GenAIEval** - Initial DocuSum Benchmark Support (Performance, accuracy and stability) - Long context benchmark enhancement (vLLM-Gaudi)
### AI Models | ai_ref_knowledge | OPEA Documentation | - **GenAIEval** - Initial DocuSum Benchmark Support (Performance, accuracy and stability) - Long context benchmark enhancement (vLLM-Gaudi)
### AI Models | - **GenAIEval** - Initial DocuSum Benchmark Support (Performance, accuracy and stability) - Long context benchmark enhancement (vLLM-Gaudi)
### AI Models | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
06cbddcb-cc87-400d-a8b3-83ac4aff72d3 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 36 | opea-semantic-v1 | c181af9583fb3c2a | ### Contribution
- **GenAI Examples**
- Domain specific AI Agent Blueprint backed by customers/partners
- Leading open source LLM (reasoning model, FM)
- Image, Video Diffusion model | ai_ref_knowledge | OPEA Documentation | ### Contribution
- **GenAI Examples**
- Domain specific AI Agent Blueprint backed by customers/partners
- Leading open source LLM (reasoning model, FM)
- Image, Video Diffusion model | ### Contribution
- **GenAI Examples**
- Domain specific AI Agent Blueprint backed by customers/partners
- Leading open source LLM (reasoning model, FM)
- Image, Video Diffusion model | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
0cb1f5fe-fbb4-4a6e-b412-a8e8da899223 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 9 | opea-semantic-v1 | 09a192c21fc2e3fe | - **Evaluation & Others** - CICD & Validation - Eval: E2E (GenAIComps & GenAIExamples) Gaudi (2) and CPUs in CICD cluster
### AI Models | ai_ref_knowledge | OPEA Documentation | - **Evaluation & Others** - CICD & Validation - Eval: E2E (GenAIComps & GenAIExamples) Gaudi (2) and CPUs in CICD cluster
### AI Models | - **Evaluation & Others** - CICD & Validation - Eval: E2E (GenAIComps & GenAIExamples) Gaudi (2) and CPUs in CICD cluster
### AI Models | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
1469f140-76a4-4c2f-bb30-37570ba93877 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 32 | opea-semantic-v1 | 17b615f6543b6d1c | - **GenAI Component** - Agent (human in the loop)
- **GenAI Examples**
- Finance Agent Advanced
- GraphRAG (Arango DB)
- Finetuning (Basic)
- Model Context Protocol | ai_ref_knowledge | OPEA Documentation | - **GenAI Component** - Agent (human in the loop)
- **GenAI Examples**
- Finance Agent Advanced
- GraphRAG (Arango DB)
- Finetuning (Basic)
- Model Context Protocol | - **GenAI Component** - Agent (human in the loop)
- **GenAI Examples**
- Finance Agent Advanced
- GraphRAG (Arango DB)
- Finetuning (Basic)
- Model Context Protocol | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
1cadad31-659b-44a9-bf82-5ccb70d5d68b | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 18 | opea-semantic-v1 | 6317e76c399404b5 | - **Use Cases/Examples** - Fine-tuning (Lora) - AI Agent (single Agent with text and Audio as user interface) - Closed source LLM - GraphRAG
- **Cloud Native**
- Static tuning on Resource management for deployment | ai_ref_knowledge | OPEA Documentation | - **Use Cases/Examples** - Fine-tuning (Lora) - AI Agent (single Agent with text and Audio as user interface) - Closed source LLM - GraphRAG
- **Cloud Native**
- Static tuning on Resource management for deployment | - **Use Cases/Examples** - Fine-tuning (Lora) - AI Agent (single Agent with text and Audio as user interface) - Closed source LLM - GraphRAG
- **Cloud Native**
- Static tuning on Resource management for deployment | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
2d57c756-e164-4cc4-8256-b9d4ac28a76f | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 25 | opea-semantic-v1 | 77ff14bf22a7b33a | - **GenAI Examples** - Langchain Integration - Llamaindex Integration
- **GenAI Infra**
- OPEA on k8s guide
- HPA support in GMC
- Istio m/TLS integration | ai_ref_knowledge | OPEA Documentation | - **GenAI Examples** - Langchain Integration - Llamaindex Integration
- **GenAI Infra**
- OPEA on k8s guide
- HPA support in GMC
- Istio m/TLS integration | - **GenAI Examples** - Langchain Integration - Llamaindex Integration
- **GenAI Infra**
- OPEA on k8s guide
- HPA support in GMC
- Istio m/TLS integration | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
2f0b5cb8-4c5a-48db-a6ee-a8d76d4120fc | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 35 | opea-semantic-v1 | f2abecbe4b509842 | - Deepseek upgrades - Llama4 - Falcon LLM - Falcon LVM - Finetuned Financial model ## Q4 2025 (v1.5 release)
### Contribution | ai_ref_knowledge | OPEA Documentation | - Deepseek upgrades - Llama4 - Falcon LLM - Falcon LVM - Finetuned Financial model ## Q4 2025 (v1.5 release)
### Contribution | - Deepseek upgrades - Llama4 - Falcon LLM - Falcon LVM - Finetuned Financial model ## Q4 2025 (v1.5 release)
### Contribution | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
300a61cc-9bcc-4658-b373-c38c9e5ab744 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 3 | opea-semantic-v1 | eac76c4c5eb74745 | - **Cloud Native** - OneClick OPEA on ChatQnA - OneClick OPEA on CodeGen - GenAI microservice connector
- **Evaluation & Others**
- CICD & Validation
- Eval: E2E (GenAIComps & GenAIExamples), lm-eval-harness, bigcode-eval-harness
- RAGAS evaluation service | ai_ref_knowledge | OPEA Documentation | - **Cloud Native** - OneClick OPEA on ChatQnA - OneClick OPEA on CodeGen - GenAI microservice connector
- **Evaluation & Others**
- CICD & Validation
- Eval: E2E (GenAIComps & GenAIExamples), lm-eval-harness, bigcode-eval-harness
- RAGAS evaluation service | - **Cloud Native** - OneClick OPEA on ChatQnA - OneClick OPEA on CodeGen - GenAI microservice connector
- **Evaluation & Others**
- CICD & Validation
- Eval: E2E (GenAIComps & GenAIExamples), lm-eval-harness, bigcode-eval-harness
- RAGAS evaluation service | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
3011c0ea-432e-439f-86f9-d90aa4d50a25 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 16 | opea-semantic-v1 | 889dedca5f191081 | - **Use Cases/Examples** - Text to Image generation - Image to Video generation - Playground (composable and configurable)
- **Cloud Native** | ai_ref_knowledge | OPEA Documentation | - **Use Cases/Examples** - Text to Image generation - Image to Video generation - Playground (composable and configurable)
- **Cloud Native** | - **Use Cases/Examples** - Text to Image generation - Image to Video generation - Playground (composable and configurable)
- **Cloud Native** | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
374a5bca-d649-4fd3-834e-93110b49b71d | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 1 | opea-semantic-v1 | 2d39c57aa7554017 | - **Components** - ASR - Data Prep - Embedding - Guardrails - LLM (Gaudi TGI) - Rerank - Retrieval - TTS - VectorDB
- **Use Cases/Examples**
- ChatQnA
- CodeGen
- CodeTrans | ai_ref_knowledge | OPEA Documentation | - **Components** - ASR - Data Prep - Embedding - Guardrails - LLM (Gaudi TGI) - Rerank - Retrieval - TTS - VectorDB
- **Use Cases/Examples**
- ChatQnA
- CodeGen
- CodeTrans | - **Components** - ASR - Data Prep - Embedding - Guardrails - LLM (Gaudi TGI) - Rerank - Retrieval - TTS - VectorDB
- **Use Cases/Examples**
- ChatQnA
- CodeGen
- CodeTrans | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
3a125cf3-11e7-48c9-a665-66d9da13c3a6 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 17 | opea-semantic-v1 | 095049abd94083ed | - **Components** - Fine-tuning E2E pipeline - Knowledge Graph
- **Use Cases/Examples**
- Fine-tuning (Lora)
- AI Agent (single Agent with text and Audio as user interface)
- Closed source LLM
- GraphRAG | ai_ref_knowledge | OPEA Documentation | - **Components** - Fine-tuning E2E pipeline - Knowledge Graph
- **Use Cases/Examples**
- Fine-tuning (Lora)
- AI Agent (single Agent with text and Audio as user interface)
- Closed source LLM
- GraphRAG | - **Components** - Fine-tuning E2E pipeline - Knowledge Graph
- **Use Cases/Examples**
- Fine-tuning (Lora)
- AI Agent (single Agent with text and Audio as user interface)
- Closed source LLM
- GraphRAG | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
3a644590-fab9-4f7b-9751-b2f8de2c76aa | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 26 | opea-semantic-v1 | 1cc46d66ebdc921f | - **GenAI Infra** - OPEA on k8s guide - HPA support in GMC - Istio m/TLS integration
- **GenAIEval**
- Eval benchmark for China ecosystem
- K8s conformance test
- Long context benchmark enhancement
- ChatQnA Benchmark (performance, accuracy and stability) | ai_ref_knowledge | OPEA Documentation | - **GenAI Infra** - OPEA on k8s guide - HPA support in GMC - Istio m/TLS integration
- **GenAIEval**
- Eval benchmark for China ecosystem
- K8s conformance test
- Long context benchmark enhancement
- ChatQnA Benchmark (performance, accuracy and stability) | - **GenAI Infra** - OPEA on k8s guide - HPA support in GMC - Istio m/TLS integration
- **GenAIEval**
- Eval benchmark for China ecosystem
- K8s conformance test
- Long context benchmark enhancement
- ChatQnA Benchmark (performance, accuracy and stability) | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
3c572f1b-80f0-48f7-9732-886e283facd1 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 34 | opea-semantic-v1 | 1652752a9130ec45 | ### AI Models
- Deepseek upgrades
- Llama4
- Falcon LLM
- Falcon LVM
- Finetuned Financial model
## Q4 2025 (v1.5 release) | ai_ref_knowledge | OPEA Documentation | ### AI Models
- Deepseek upgrades
- Llama4
- Falcon LLM
- Falcon LVM
- Finetuned Financial model
## Q4 2025 (v1.5 release) | ### AI Models
- Deepseek upgrades
- Llama4
- Falcon LLM
- Falcon LVM
- Finetuned Financial model
## Q4 2025 (v1.5 release) | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
49ea475e-fc6b-4fcb-96da-de2aeda89b54 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 12 | opea-semantic-v1 | 60100e130912844d | - **Cloud Native** - OpenShift enablement for OPEA - OneClick OPEA for 3 more examples - Security (Service Mesh, guardrails)
- **Evaluation & Others**
- CICD & Validation
- Eval: E2E (GenAIComps & GenAIExamples) | ai_ref_knowledge | OPEA Documentation | - **Cloud Native** - OpenShift enablement for OPEA - OneClick OPEA for 3 more examples - Security (Service Mesh, guardrails)
- **Evaluation & Others**
- CICD & Validation
- Eval: E2E (GenAIComps & GenAIExamples) | - **Cloud Native** - OpenShift enablement for OPEA - OneClick OPEA for 3 more examples - Security (Service Mesh, guardrails)
- **Evaluation & Others**
- CICD & Validation
- Eval: E2E (GenAIComps & GenAIExamples) | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
5268c7b6-9c76-4e4a-a14d-8427d4197b48 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 24 | opea-semantic-v1 | 84d1827a8d7edbff | - **GenAI Component** - vLLM Arc GPU via OpenVINO - Opensearch vector DB - Elastic search - POC for Model context protocol
- **GenAI Examples**
- Langchain Integration
- Llamaindex Integration | ai_ref_knowledge | OPEA Documentation | - **GenAI Component** - vLLM Arc GPU via OpenVINO - Opensearch vector DB - Elastic search - POC for Model context protocol
- **GenAI Examples**
- Langchain Integration
- Llamaindex Integration | - **GenAI Component** - vLLM Arc GPU via OpenVINO - Opensearch vector DB - Elastic search - POC for Model context protocol
- **GenAI Examples**
- Langchain Integration
- Llamaindex Integration | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
5285952b-f9bf-4647-a9e8-1c0eb0c437e9 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 15 | opea-semantic-v1 | e9a02494e3642f61 | - **Components** - Microservice for Image and Video
- **Use Cases/Examples**
- Text to Image generation
- Image to Video generation
- Playground (composable and configurable) | ai_ref_knowledge | OPEA Documentation | - **Components** - Microservice for Image and Video
- **Use Cases/Examples**
- Text to Image generation
- Image to Video generation
- Playground (composable and configurable) | - **Components** - Microservice for Image and Video
- **Use Cases/Examples**
- Text to Image generation
- Image to Video generation
- Playground (composable and configurable) | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
7eb16456-dd6a-4fb0-bfb1-805ca8698114 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 8 | opea-semantic-v1 | 61385ab790077ec0 | - **Cloud Native** - OneClick OPEA for 2 more examples - GMC with switch support (dynamic pipelines) - Helm charts/templates for custom yamls (refactoring)
- **Evaluation & Others**
- CICD & Validation
- Eval: E2E (GenAIComps & GenAIExamples) Gaudi (2) and CPUs in CICD cluster | ai_ref_knowledge | OPEA Documentation | - **Cloud Native** - OneClick OPEA for 2 more examples - GMC with switch support (dynamic pipelines) - Helm charts/templates for custom yamls (refactoring)
- **Evaluation & Others**
- CICD & Validation
- Eval: E2E (GenAIComps & GenAIExamples) Gaudi (2) and CPUs in CICD cluster | - **Cloud Native** - OneClick OPEA for 2 more examples - GMC with switch support (dynamic pipelines) - Helm charts/templates for custom yamls (refactoring)
- **Evaluation & Others**
- CICD & Validation
- Eval: E2E (GenAIComps & GenAIExamples) Gaudi (2) and CPUs in CICD cluster | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
932634f9-4b99-4271-bb9e-04eda7bf522b | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 23 | opea-semantic-v1 | 058a9286b07ffee3 | ### Contribution
- **GenAI Component**
- vLLM Arc GPU via OpenVINO
- Opensearch vector DB
- Elastic search
- POC for Model context protocol | ai_ref_knowledge | OPEA Documentation | ### Contribution
- **GenAI Component**
- vLLM Arc GPU via OpenVINO
- Opensearch vector DB
- Elastic search
- POC for Model context protocol | ### Contribution
- **GenAI Component**
- vLLM Arc GPU via OpenVINO
- Opensearch vector DB
- Elastic search
- POC for Model context protocol | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
95ebceb5-53d8-409c-aa0a-8e7ca415aba6 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 29 | opea-semantic-v1 | 31ca2f8e2dccc858 | - **GenAI Examples** - Advanced AgentQnA - Finance Agent Basic - vLLM enablement for GenAI examples - *Haystack Integration
- **GenAI Infra**
- Enhance existing HELM charts (8 GenAI Examples)
- OIM basic (container structure)
- HPA Scaling for IAAS | ai_ref_knowledge | OPEA Documentation | - **GenAI Examples** - Advanced AgentQnA - Finance Agent Basic - vLLM enablement for GenAI examples - *Haystack Integration
- **GenAI Infra**
- Enhance existing HELM charts (8 GenAI Examples)
- OIM basic (container structure)
- HPA Scaling for IAAS | - **GenAI Examples** - Advanced AgentQnA - Finance Agent Basic - vLLM enablement for GenAI examples - *Haystack Integration
- **GenAI Infra**
- Enhance existing HELM charts (8 GenAI Examples)
- OIM basic (container structure)
- HPA Scaling for IAAS | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
9dc98439-1472-445c-ac8e-8bcfca7c69eb | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 20 | opea-semantic-v1 | 6d39e5bea469dc0a | - Public Cloud (Azure, GCP, Oracle, AWS) - AI PC (Intel)
# OPEA 2025 Roadmap
## Release Cadence
- Release cycles extended from **2 months to 3 months** (TSC approved)
- Upcoming versions: | ai_ref_knowledge | OPEA Documentation | - Public Cloud (Azure, GCP, Oracle, AWS) - AI PC (Intel)
# OPEA 2025 Roadmap
## Release Cadence
- Release cycles extended from **2 months to 3 months** (TSC approved)
- Upcoming versions: | - Public Cloud (Azure, GCP, Oracle, AWS) - AI PC (Intel)
# OPEA 2025 Roadmap
## Release Cadence
- Release cycles extended from **2 months to 3 months** (TSC approved)
- Upcoming versions: | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
b360692e-d9a0-49ee-a9a9-980cd7e78421 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 11 | opea-semantic-v1 | 97b8a8afbc54316e | - **Use Cases/Examples** - FAQGen
- **Cloud Native**
- OpenShift enablement for OPEA
- OneClick OPEA for 3 more examples
- Security (Service Mesh, guardrails) | ai_ref_knowledge | OPEA Documentation | - **Use Cases/Examples** - FAQGen
- **Cloud Native**
- OpenShift enablement for OPEA
- OneClick OPEA for 3 more examples
- Security (Service Mesh, guardrails) | - **Use Cases/Examples** - FAQGen
- **Cloud Native**
- OpenShift enablement for OPEA
- OneClick OPEA for 3 more examples
- Security (Service Mesh, guardrails) | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
bd2e4725-12a4-4369-9d63-aba290304e27 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 28 | opea-semantic-v1 | b5374ecbfce1f886 | - **GenAI Component** - Agent (multi-turn message)
- **GenAI Examples**
- Advanced AgentQnA
- Finance Agent Basic
- vLLM enablement for GenAI examples
- *Haystack Integration | ai_ref_knowledge | OPEA Documentation | - **GenAI Component** - Agent (multi-turn message)
- **GenAI Examples**
- Advanced AgentQnA
- Finance Agent Basic
- vLLM enablement for GenAI examples
- *Haystack Integration | - **GenAI Component** - Agent (multi-turn message)
- **GenAI Examples**
- Advanced AgentQnA
- Finance Agent Basic
- vLLM enablement for GenAI examples
- *Haystack Integration | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
c005f068-b51b-40a5-a0ce-0ec904d92d13 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 14 | opea-semantic-v1 | d71b58aa8471ea7c | - **Cloud Native** - Demo K8s resource management - Documentation on autoscaler analysis
- **Evaluation & Others**
- CICD & Validation
- Eval: E2E (GenAIComps & GenAIExamples) | ai_ref_knowledge | OPEA Documentation | - **Cloud Native** - Demo K8s resource management - Documentation on autoscaler analysis
- **Evaluation & Others**
- CICD & Validation
- Eval: E2E (GenAIComps & GenAIExamples) | - **Cloud Native** - Demo K8s resource management - Documentation on autoscaler analysis
- **Evaluation & Others**
- CICD & Validation
- Eval: E2E (GenAIComps & GenAIExamples) | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
c2f4d768-bfc9-4f27-aa9b-a0b3a0e38151 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 27 | opea-semantic-v1 | a43cb1927920c6f2 | - **GenAIEval** - Eval benchmark for China ecosystem - K8s conformance test - Long context benchmark enhancement - ChatQnA Benchmark (performance, accuracy and stability)
### AI Models | ai_ref_knowledge | OPEA Documentation | - **GenAIEval** - Eval benchmark for China ecosystem - K8s conformance test - Long context benchmark enhancement - ChatQnA Benchmark (performance, accuracy and stability)
### AI Models | - **GenAIEval** - Eval benchmark for China ecosystem - K8s conformance test - Long context benchmark enhancement - ChatQnA Benchmark (performance, accuracy and stability)
### AI Models | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
dc57b102-0de1-48b4-83d6-2483ccd6fd93 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 6 | opea-semantic-v1 | 70bfca8ccb570a4e | - **Components** - LLM (Xeon vLLM & Ray, Ollama) - OVMS - prompting - user feedback management - Mega Component (MI6 RAG service)
- **Use Cases/Examples**
- DocSum
- SearchQnA | ai_ref_knowledge | OPEA Documentation | - **Components** - LLM (Xeon vLLM & Ray, Ollama) - OVMS - prompting - user feedback management - Mega Component (MI6 RAG service)
- **Use Cases/Examples**
- DocSum
- SearchQnA | - **Components** - LLM (Xeon vLLM & Ray, Ollama) - OVMS - prompting - user feedback management - Mega Component (MI6 RAG service)
- **Use Cases/Examples**
- DocSum
- SearchQnA | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
dd2fb0ee-06d8-4432-84ec-0b98592ee279 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 33 | opea-semantic-v1 | 8ae270789f661e60 | - **GenAI Examples** - Finance Agent Advanced - GraphRAG (Arango DB) - Finetuning (Basic) - Model Context Protocol
- **GenAI Infra**
- OIM enhancement
- AI Resource Optimizer | ai_ref_knowledge | OPEA Documentation | - **GenAI Examples** - Finance Agent Advanced - GraphRAG (Arango DB) - Finetuning (Basic) - Model Context Protocol
- **GenAI Infra**
- OIM enhancement
- AI Resource Optimizer | - **GenAI Examples** - Finance Agent Advanced - GraphRAG (Arango DB) - Finetuning (Basic) - Model Context Protocol
- **GenAI Infra**
- OIM enhancement
- AI Resource Optimizer | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
dd92e730-9c04-4c0b-b668-5667ece8911b | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 30 | opea-semantic-v1 | a34d96a5cab5ecb2 | - **GenAI Infra** - Enhance existing HELM charts (8 GenAI Examples) - OIM basic (container structure) - HPA Scaling for IAAS
- **GenAIEval**
- Initial DocuSum Benchmark Support (Performance, accuracy and stability)
- Long context benchmark enhancement (vLLM-Gaudi) | ai_ref_knowledge | OPEA Documentation | - **GenAI Infra** - Enhance existing HELM charts (8 GenAI Examples) - OIM basic (container structure) - HPA Scaling for IAAS
- **GenAIEval**
- Initial DocuSum Benchmark Support (Performance, accuracy and stability)
- Long context benchmark enhancement (vLLM-Gaudi) | - **GenAI Infra** - Enhance existing HELM charts (8 GenAI Examples) - OIM basic (container structure) - HPA Scaling for IAAS
- **GenAIEval**
- Initial DocuSum Benchmark Support (Performance, accuracy and stability)
- Long context benchmark enhancement (vLLM-Gaudi) | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
e6f81c77-0442-4626-a3f4-77157ddcbaa1 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 19 | opea-semantic-v1 | a9d817f58e2dbfb8 | - **Cloud Native** - Static tuning on Resource management for deployment
- **Evaluation & Others**
- CICD & Validation
- Eval: E2E (GenAIComps & GenAIExamples) | ai_ref_knowledge | OPEA Documentation | - **Cloud Native** - Static tuning on Resource management for deployment
- **Evaluation & Others**
- CICD & Validation
- Eval: E2E (GenAIComps & GenAIExamples) | - **Cloud Native** - Static tuning on Resource management for deployment
- **Evaluation & Others**
- CICD & Validation
- Eval: E2E (GenAIComps & GenAIExamples) | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
e85cc82d-a57c-4efe-ac49-dc0772de34d8 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 5 | opea-semantic-v1 | 473317e98caf1fd8 | ### Contribution
- **Components**
- LLM (Xeon vLLM & Ray, Ollama)
- OVMS
- prompting
- user feedback management
- Mega Component (MI6 RAG service) | ai_ref_knowledge | OPEA Documentation | ### Contribution
- **Components**
- LLM (Xeon vLLM & Ray, Ollama)
- OVMS
- prompting
- user feedback management
- Mega Component (MI6 RAG service) | ### Contribution
- **Components**
- LLM (Xeon vLLM & Ray, Ollama)
- OVMS
- prompting
- user feedback management
- Mega Component (MI6 RAG service) | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
eb19fc77-a97f-4d59-90cd-dae2d77772ab | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 22 | opea-semantic-v1 | f9ad63637a2479bf | (Performance, accuracy and stability) | | v1.2 | Jan 2025 | vLLM Arc GPU via OpenVINO, Langchain Integration, Llamaindex Integration, Eval Benchmark for ChatQnA |
## Q1 2025 (v1.2 release) | ai_ref_knowledge | OPEA Documentation | (Performance, accuracy and stability) | | v1.2 | Jan 2025 | vLLM Arc GPU via OpenVINO, Langchain Integration, Llamaindex Integration, Eval Benchmark for ChatQnA |
## Q1 2025 (v1.2 release) | (Performance, accuracy and stability) | | v1.2 | Jan 2025 | vLLM Arc GPU via OpenVINO, Langchain Integration, Llamaindex Integration, Eval Benchmark for ChatQnA |
## Q1 2025 (v1.2 release) | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
edcb9bf6-420f-4cf9-8cac-59dd069a1079 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 4 | opea-semantic-v1 | 48c5de73b3dfe2c1 | - **Evaluation & Others** - CICD & Validation - Eval: E2E (GenAIComps & GenAIExamples), lm-eval-harness, bigcode-eval-harness - RAGAS evaluation service
### AI Models | ai_ref_knowledge | OPEA Documentation | - **Evaluation & Others** - CICD & Validation - Eval: E2E (GenAIComps & GenAIExamples), lm-eval-harness, bigcode-eval-harness - RAGAS evaluation service
### AI Models | - **Evaluation & Others** - CICD & Validation - Eval: E2E (GenAIComps & GenAIExamples), lm-eval-harness, bigcode-eval-harness - RAGAS evaluation service
### AI Models | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
f2fa4a1e-e506-4950-95c1-b69b7ae2b325 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 2 | opea-semantic-v1 | 324593055d713708 | - **Use Cases/Examples** - ChatQnA - CodeGen - CodeTrans
- **Cloud Native**
- OneClick OPEA on ChatQnA
- OneClick OPEA on CodeGen
- GenAI microservice connector | ai_ref_knowledge | OPEA Documentation | - **Use Cases/Examples** - ChatQnA - CodeGen - CodeTrans
- **Cloud Native**
- OneClick OPEA on ChatQnA
- OneClick OPEA on CodeGen
- GenAI microservice connector | - **Use Cases/Examples** - ChatQnA - CodeGen - CodeTrans
- **Cloud Native**
- OneClick OPEA on ChatQnA
- OneClick OPEA on CodeGen
- GenAI microservice connector | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
f4ed8366-ee07-474e-a137-dade22702d1c | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 10 | opea-semantic-v1 | 41f6bc3d155c4c7e | - **Components** - LVM (Gaudi vLLM & Ray) - vectordb (svs) - Gateway guardrail, Auth Z/N
- **Use Cases/Examples**
- FAQGen | ai_ref_knowledge | OPEA Documentation | - **Components** - LVM (Gaudi vLLM & Ray) - vectordb (svs) - Gateway guardrail, Auth Z/N
- **Use Cases/Examples**
- FAQGen | - **Components** - LVM (Gaudi vLLM & Ray) - vectordb (svs) - Gateway guardrail, Auth Z/N
- **Use Cases/Examples**
- FAQGen | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
f9370ac7-af39-4d82-8dd5-e824d4da96a5 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 21 | opea-semantic-v1 | c29f70b2f522b737 | # OPEA 2025 Roadmap ## Release Cadence - Release cycles extended from **2 months to 3 months** (TSC approved) - Upcoming versions:
| Version | Release Date | Key Features |
|---------|--------------|--------------|
| v1.6 | Jan 2026 | Domain-specific AI Agent Blueprints with Partners, Leading open source LLM, Image and... | ai_ref_knowledge | OPEA Documentation | # OPEA 2025 Roadmap ## Release Cadence - Release cycles extended from **2 months to 3 months** (TSC approved) - Upcoming versions:
| Version | Release Date | Key Features |
|---------|--------------|--------------|
| v1.6 | Jan 2026 | Domain-specific AI Agent Blueprints with Partners, Leading open source LLM, Image and... | # OPEA 2025 Roadmap ## Release Cadence - Release cycles extended from **2 months to 3 months** (TSC approved) - Upcoming versions:
| Version | Release Date | Key Features |
|---------|--------------|--------------|
| v1.6 | Jan 2026 | Domain-specific AI Agent Blueprints with Partners, Leading open source LLM, Image and... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
fea96a94-e351-481e-b1f0-f2951854fa39 | OPEA Documentation | file://datasets/opea-docs/roadmap/2024-2025.md | unknown | 70851e4b-3f2b-4775-b810-2a50187f9303 | 13 | opea-semantic-v1 | d1d7f520679ed961 | - **Use Cases/Examples** - Documentation - Test automation script
- **Cloud Native**
- Demo K8s resource management
- Documentation on autoscaler analysis | ai_ref_knowledge | OPEA Documentation | - **Use Cases/Examples** - Documentation - Test automation script
- **Cloud Native**
- Demo K8s resource management
- Documentation on autoscaler analysis | - **Use Cases/Examples** - Documentation - Test automation script
- **Cloud Native**
- Demo K8s resource management
- Documentation on autoscaler analysis | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
0fa262cf-475f-41f8-b889-fb7650fbe40c | OPEA Documentation | file://datasets/opea-docs/roadmap/CICD.md | unknown | 7d01c680-2541-4f1e-8b83-8fafe76f13a6 | 3 | opea-semantic-v1 | 84c55ba119f0fd4b | ## Milestone 3 (July) - Enhance code coverage - E2E test for GenAIExamples/GenAIComps/GenAIInfra milestone3 related scope - GMC test for k8s - k8s scalability test
## Milestone 4 (Aug)
- Enhance code coverage
- E2E test for GenAIExamples/GenAIComps/GenAIInfra milestone4 related scope
- Enhance k8s scalability test
- Au... | ai_ref_knowledge | OPEA Documentation | ## Milestone 3 (July) - Enhance code coverage - E2E test for GenAIExamples/GenAIComps/GenAIInfra milestone3 related scope - GMC test for k8s - k8s scalability test
## Milestone 4 (Aug)
- Enhance code coverage
- E2E test for GenAIExamples/GenAIComps/GenAIInfra milestone4 related scope
- Enhance k8s scalability test
- Au... | ## Milestone 3 (July) - Enhance code coverage - E2E test for GenAIExamples/GenAIComps/GenAIInfra milestone3 related scope - GMC test for k8s - k8s scalability test
## Milestone 4 (Aug)
- Enhance code coverage
- E2E test for GenAIExamples/GenAIComps/GenAIInfra milestone4 related scope
- Enhance k8s scalability test
- Au... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
6052fa24-4457-447e-8cf3-8527b756a36c | OPEA Documentation | file://datasets/opea-docs/roadmap/CICD.md | unknown | 7d01c680-2541-4f1e-8b83-8fafe76f13a6 | 1 | opea-semantic-v1 | f69662d00c0c6cce | (May, Done) - Format scan for GenAIExamples/GenAIComps/GenAIInfra/GenAIEval - Security scan for GenAIExamples/GenAIComps/GenAIInfra/GenAIEval - Unit test for GenAIComps/GenAIInfra/GenAIEval - E2E test for GenAIExamples/GenAIComps/GenAIInfra milestone1 related scope
## Milestone 2 (June)
- CI infrastructure optimization... | ai_ref_knowledge | OPEA Documentation | (May, Done) - Format scan for GenAIExamples/GenAIComps/GenAIInfra/GenAIEval - Security scan for GenAIExamples/GenAIComps/GenAIInfra/GenAIEval - Unit test for GenAIComps/GenAIInfra/GenAIEval - E2E test for GenAIExamples/GenAIComps/GenAIInfra milestone1 related scope
## Milestone 2 (June)
- CI infrastructure optimization... | (May, Done) - Format scan for GenAIExamples/GenAIComps/GenAIInfra/GenAIEval - Security scan for GenAIExamples/GenAIComps/GenAIInfra/GenAIEval - Unit test for GenAIComps/GenAIInfra/GenAIEval - E2E test for GenAIExamples/GenAIComps/GenAIInfra milestone1 related scope
## Milestone 2 (June)
- CI infrastructure optimization... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
c3dd9e06-d934-44eb-9cfe-8575078e2ddc | OPEA Documentation | file://datasets/opea-docs/roadmap/CICD.md | unknown | 7d01c680-2541-4f1e-8b83-8fafe76f13a6 | 0 | opea-semantic-v1 | 85f458d55b24ecf1 | # OPEA CI/CD Roadmap
## Milestone 1 (May, Done)
- Format scan for GenAIExamples/GenAIComps/GenAIInfra/GenAIEval
- Security scan for GenAIExamples/GenAIComps/GenAIInfra/GenAIEval
- Unit test for GenAIComps/GenAIInfra/GenAIEval
- E2E test for GenAIExamples/GenAIComps/GenAIInfra milestone1 related scope | ai_ref_knowledge | OPEA Documentation | # OPEA CI/CD Roadmap
## Milestone 1 (May, Done)
- Format scan for GenAIExamples/GenAIComps/GenAIInfra/GenAIEval
- Security scan for GenAIExamples/GenAIComps/GenAIInfra/GenAIEval
- Unit test for GenAIComps/GenAIInfra/GenAIEval
- E2E test for GenAIExamples/GenAIComps/GenAIInfra milestone1 related scope | # OPEA CI/CD Roadmap
## Milestone 1 (May, Done)
- Format scan for GenAIExamples/GenAIComps/GenAIInfra/GenAIEval
- Security scan for GenAIExamples/GenAIComps/GenAIInfra/GenAIEval
- Unit test for GenAIComps/GenAIInfra/GenAIEval
- E2E test for GenAIExamples/GenAIComps/GenAIInfra milestone1 related scope | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
deff4bb4-68be-487f-8189-7ec4a8c0fdf7 | OPEA Documentation | file://datasets/opea-docs/roadmap/CICD.md | unknown | 7d01c680-2541-4f1e-8b83-8fafe76f13a6 | 2 | opea-semantic-v1 | 1a97e2ebce383992 | image repository for CI - UT coverage measurement - Cross-projects impact monitor - E2E test for GenAIExamples/GenAIComps/GenAIInfra milestone2 related scope - RAG benchmark with GenAIEval
## Milestone 3 (July)
- Enhance code coverage
- E2E test for GenAIExamples/GenAIComps/GenAIInfra milestone3 related scope
- GMC tes... | ai_ref_knowledge | OPEA Documentation | image repository for CI - UT coverage measurement - Cross-projects impact monitor - E2E test for GenAIExamples/GenAIComps/GenAIInfra milestone2 related scope - RAG benchmark with GenAIEval
## Milestone 3 (July)
- Enhance code coverage
- E2E test for GenAIExamples/GenAIComps/GenAIInfra milestone3 related scope
- GMC tes... | image repository for CI - UT coverage measurement - Cross-projects impact monitor - E2E test for GenAIExamples/GenAIComps/GenAIInfra milestone2 related scope - RAG benchmark with GenAIEval
## Milestone 3 (July)
- Enhance code coverage
- E2E test for GenAIExamples/GenAIComps/GenAIInfra milestone3 related scope
- GMC tes... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
53f22ee3-3012-4d4f-b10d-82fe0ad46099 | OPEA Documentation | file://datasets/opea-docs/scripts/publish-README.md | unknown | 1412a54b-4ed7-407d-a257-15f94094a43c | 1 | opea-semantic-v1 | f2f586f3cbbbf873 | opea-project/docs and other repos, re-generate the HTML with Sphinx (make html), and with the right permissions, push the updated content here for publishing (make publish).
Read the published documentation on
[https://opea-project.github.io](https://opea-project.github.io). | ai_ref_knowledge | OPEA Documentation | opea-project/docs and other repos, re-generate the HTML with Sphinx (make html), and with the right permissions, push the updated content here for publishing (make publish).
Read the published documentation on
[https://opea-project.github.io](https://opea-project.github.io). | opea-project/docs and other repos, re-generate the HTML with Sphinx (make html), and with the right permissions, push the updated content here for publishing (make publish).
Read the published documentation on
[https://opea-project.github.io](https://opea-project.github.io). | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
c12232b0-b7b1-440a-b38b-8a9b0583e3e6 | OPEA Documentation | file://datasets/opea-docs/scripts/publish-README.md | unknown | 1412a54b-4ed7-407d-a257-15f94094a43c | 0 | opea-semantic-v1 | 891ee9113a396510 | # opea-project.github.io
This is the OPEA Project Documentation Publishing site for GitHub Pages. Content changes are not made directly in this repo. Instead, edit content in
the opea-project/docs and other repos, re-generate the HTML with Sphinx (make
html), and with the right permissions, push the updated content her... | ai_ref_knowledge | OPEA Documentation | # opea-project.github.io
This is the OPEA Project Documentation Publishing site for GitHub Pages. Content changes are not made directly in this repo. Instead, edit content in
the opea-project/docs and other repos, re-generate the HTML with Sphinx (make
html), and with the right permissions, push the updated content her... | # opea-project.github.io
This is the OPEA Project Documentation Publishing site for GitHub Pages. Content changes are not made directly in this repo. Instead, edit content in
the opea-project/docs and other repos, re-generate the HTML with Sphinx (make
html), and with the right permissions, push the updated content her... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
037e8cf0-9207-4119-ac1f-5ca47e374b15 | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 47 | opea-semantic-v1 | 78ef0b8e7a2b7efc | ```bash # tgi service curl http://${host_ip}:3006/generate \ -X POST \ -d '{"inputs":"What is Deep Learning?","parameters":{"max_new_tokens":17, "do_sample": true}}' \ -H 'Content-Type: application/json'
TGI service handles the core language model operations. Here is the expected result from TGI: | ai_ref_knowledge | OPEA Documentation | ```bash # tgi service curl http://${host_ip}:3006/generate \ -X POST \ -d '{"inputs":"What is Deep Learning?","parameters":{"max_new_tokens":17, "do_sample": true}}' \ -H 'Content-Type: application/json'
TGI service handles the core language model operations. Here is the expected result from TGI: | ```bash # tgi service curl http://${host_ip}:3006/generate \ -X POST \ -d '{"inputs":"What is Deep Learning?","parameters":{"max_new_tokens":17, "do_sample": true}}' \ -H 'Content-Type: application/json'
TGI service handles the core language model operations. Here is the expected result from TGI: | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
04a73ab1-a24f-473d-a4a6-b504683e38bc | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 6 | opea-semantic-v1 | 4527ac90cc15048d | ## Prerequisites
The first step is to clone the GenAIExamples and GenAIComps projects. GenAIComps are fundamental necessary components used to build the examples you find in GenAIExamples and deploy them as microservices. Set an environment variable for the desired release version with the number only (i.e. 1.0, 1.1, e... | ai_ref_knowledge | OPEA Documentation | ## Prerequisites
The first step is to clone the GenAIExamples and GenAIComps projects. GenAIComps are fundamental necessary components used to build the examples you find in GenAIExamples and deploy them as microservices. Set an environment variable for the desired release version with the number only (i.e. 1.0, 1.1, e... | ## Prerequisites
The first step is to clone the GenAIExamples and GenAIComps projects. GenAIComps are fundamental necessary components used to build the examples you find in GenAIExamples and deploy them as microservices. Set an environment variable for the desired release version with the number only (i.e. 1.0, 1.1, e... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
14ab18a5-8284-4f44-bc2f-4aabc94d52a2 | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 28 | opea-semantic-v1 | 1a80eb25bb6911a2 | TGI | Intel/neural-chat-7b-v3-3 | OPEA Microservice | | ASR | | NA | OPEA Microservice | | TTS | | NA | OPEA Microservice |
Tools and models mentioned in the table are configurable either through the environment variable or `compose.yaml` | ai_ref_knowledge | OPEA Documentation | TGI | Intel/neural-chat-7b-v3-3 | OPEA Microservice | | ASR | | NA | OPEA Microservice | | TTS | | NA | OPEA Microservice |
Tools and models mentioned in the table are configurable either through the environment variable or `compose.yaml` | TGI | Intel/neural-chat-7b-v3-3 | OPEA Microservice | | ASR | | NA | OPEA Microservice | | TTS | | NA | OPEA Microservice |
Tools and models mentioned in the table are configurable either through the environment variable or `compose.yaml` | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
167a40c4-b6e3-4068-b836-29bb60dfddab | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 29 | opea-semantic-v1 | c4f4ffa8f4e2fa3a | Tools and models mentioned in the table are configurable either through the environment variable or `compose.yaml`
Set the necessary environment variables to setup the use case by running the `set_env.sh` script. Here is where the environment variable `LLM_MODEL_ID` is set, and you can change it to another model by spe... | ai_ref_knowledge | OPEA Documentation | Tools and models mentioned in the table are configurable either through the environment variable or `compose.yaml`
Set the necessary environment variables to setup the use case by running the `set_env.sh` script. Here is where the environment variable `LLM_MODEL_ID` is set, and you can change it to another model by spe... | Tools and models mentioned in the table are configurable either through the environment variable or `compose.yaml`
Set the necessary environment variables to setup the use case by running the `set_env.sh` script. Here is where the environment variable `LLM_MODEL_ID` is set, and you can change it to another model by spe... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
1b83fd36-d80a-4e04-b23a-d26d2b658103 | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 17 | opea-semantic-v1 | ee9593966f8e9bf0 | containers and not build them locally, you can proceed to the next step where all the necessary containers will be pulled in from Docker Hub.
:::::
:::::{tab-item} Build | ai_ref_knowledge | OPEA Documentation | containers and not build them locally, you can proceed to the next step where all the necessary containers will be pulled in from Docker Hub.
:::::
:::::{tab-item} Build | containers and not build them locally, you can proceed to the next step where all the necessary containers will be pulled in from Docker Hub.
:::::
:::::{tab-item} Build | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
1ca7f348-ea9b-4425-ae67-e8a2fa704355 | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 3 | opea-semantic-v1 | b254b7066089c8e7 | this tutorial, we will walk through how to enable the below list of microservices from OPEA GenAIComps to deploy a single node TGI megaservice solution.
1. Automatic Speech Recognition (ASR) Service
2. Large Language Models (LLM) Service
3. Text-to-Speech (TTS) Service | ai_ref_knowledge | OPEA Documentation | this tutorial, we will walk through how to enable the below list of microservices from OPEA GenAIComps to deploy a single node TGI megaservice solution.
1. Automatic Speech Recognition (ASR) Service
2. Large Language Models (LLM) Service
3. Text-to-Speech (TTS) Service | this tutorial, we will walk through how to enable the below list of microservices from OPEA GenAIComps to deploy a single node TGI megaservice solution.
1. Automatic Speech Recognition (ASR) Service
2. Large Language Models (LLM) Service
3. Text-to-Speech (TTS) Service | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
1e89176a-78ba-4ea1-9099-867a457b4da6 | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 53 | opea-semantic-v1 | 0a4087945caf4842 | following https://github.com/opea-project/GenAIComps/blob/main/comps/tts/src/integrations/dependency/gpt-sovits/README.md curl http://${host_ip}:3008/v1/audioqna \ -X POST \ -d '{"audio": "UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA", "max_tokens":64, "voice":"default"}' \ -H 'Content-Type: applica... | ai_ref_knowledge | OPEA Documentation | following https://github.com/opea-project/GenAIComps/blob/main/comps/tts/src/integrations/dependency/gpt-sovits/README.md curl http://${host_ip}:3008/v1/audioqna \ -X POST \ -d '{"audio": "UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA", "max_tokens":64, "voice":"default"}' \ -H 'Content-Type: applica... | following https://github.com/opea-project/GenAIComps/blob/main/comps/tts/src/integrations/dependency/gpt-sovits/README.md curl http://${host_ip}:3008/v1/audioqna \ -X POST \ -d '{"audio": "UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA", "max_tokens":64, "voice":"default"}' \ -H 'Content-Type: applica... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
2243d7c3-708e-4c8a-84ba-e39811e1b2b6 | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 19 | opea-semantic-v1 | fd42e2a18dcc3319 | **Note:** For RELEASE_VERSIONS older than 1.0, you will need to add a 'v' in front of ${RELEASE_VERSION} to reference the correct image on Docker Hub.
```bash
cd $WORKSPACE/GenAIComps | ai_ref_knowledge | OPEA Documentation | **Note:** For RELEASE_VERSIONS older than 1.0, you will need to add a 'v' in front of ${RELEASE_VERSION} to reference the correct image on Docker Hub.
```bash
cd $WORKSPACE/GenAIComps | **Note:** For RELEASE_VERSIONS older than 1.0, you will need to add a 'v' in front of ${RELEASE_VERSION} to reference the correct image on Docker Hub.
```bash
cd $WORKSPACE/GenAIComps | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
22e9b78e-45c7-4608-970a-5f6036d6eac9 | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 32 | opea-semantic-v1 | cc97b8b29322b785 | tutorial, we will be deploying via docker compose with the provided YAML file. The docker compose instructions should start all the above-mentioned services as containers.
```bash
export MODEL_CACHE=./data | ai_ref_knowledge | OPEA Documentation | tutorial, we will be deploying via docker compose with the provided YAML file. The docker compose instructions should start all the above-mentioned services as containers.
```bash
export MODEL_CACHE=./data | tutorial, we will be deploying via docker compose with the provided YAML file. The docker compose instructions should start all the above-mentioned services as containers.
```bash
export MODEL_CACHE=./data | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
2320a76d-6660-4e55-b32f-a3232f2b995b | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 44 | opea-semantic-v1 | cebabbe7a8473ffa | ```bash # whisper service wget https://github.com/intel/intel-extension-for-transformers/raw/main/intel_extension_for_transformers/neural_chat/assets/audio/sample.wav curl http://${host_ip}:7066/v1/audio/transcriptions \ -H "Content-Type: multipart/form-data" \ -F file="@./sample.wav" \ -F model="openai/whisper-small"
... | ai_ref_knowledge | OPEA Documentation | ```bash # whisper service wget https://github.com/intel/intel-extension-for-transformers/raw/main/intel_extension_for_transformers/neural_chat/assets/audio/sample.wav curl http://${host_ip}:7066/v1/audio/transcriptions \ -H "Content-Type: multipart/form-data" \ -F file="@./sample.wav" \ -F model="openai/whisper-small"
... | ```bash # whisper service wget https://github.com/intel/intel-extension-for-transformers/raw/main/intel_extension_for_transformers/neural_chat/assets/audio/sample.wav curl http://${host_ip}:7066/v1/audio/transcriptions \ -H "Content-Type: multipart/form-data" \ -F file="@./sample.wav" \ -F model="openai/whisper-small"
... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
238dc772-2546-4a25-b3d5-9fc93d328ba1 | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 41 | opea-semantic-v1 | c58ee3cc954d02a2 | [::]:7066->7066/tcp | whisper-service | | 1290ccd09182 | opea/speecht5-gaudi:${RELEASE_VERSION} | `"python speecht5_ser…"` | 37 minutes ago | Up 37 minutes | 0.0.0.0:7055->7055/tcp, [::]:7055->7055/tcp | speecht5-service |
## Interacting with AudioQnA deployment | ai_ref_knowledge | OPEA Documentation | [::]:7066->7066/tcp | whisper-service | | 1290ccd09182 | opea/speecht5-gaudi:${RELEASE_VERSION} | `"python speecht5_ser…"` | 37 minutes ago | Up 37 minutes | 0.0.0.0:7055->7055/tcp, [::]:7055->7055/tcp | speecht5-service |
## Interacting with AudioQnA deployment | [::]:7066->7066/tcp | whisper-service | | 1290ccd09182 | opea/speecht5-gaudi:${RELEASE_VERSION} | `"python speecht5_ser…"` | 37 minutes ago | Up 37 minutes | 0.0.0.0:7055->7055/tcp, [::]:7055->7055/tcp | speecht5-service |
## Interacting with AudioQnA deployment | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
2501db01-0a9c-4120-87db-cb4875c0de96 | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 39 | opea-semantic-v1 | eecf8414fd844619 | started. For example, the AudioQnA example starts 5 docker containers (services), check these docker containers are all running, i.e., all the containers `STATUS` are `Up`.
To do a quick sanity check, try `docker ps -a` to see if all the containers are running. | ai_ref_knowledge | OPEA Documentation | started. For example, the AudioQnA example starts 5 docker containers (services), check these docker containers are all running, i.e., all the containers `STATUS` are `Up`.
To do a quick sanity check, try `docker ps -a` to see if all the containers are running. | started. For example, the AudioQnA example starts 5 docker containers (services), check these docker containers are all running, i.e., all the containers `STATUS` are `Up`.
To do a quick sanity check, try `docker ps -a` to see if all the containers are running. | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
2625fc4e-9a78-4db0-bac5-69a350a2eabf | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 42 | opea-semantic-v1 | 536f460c0c1bd567 | ## Interacting with AudioQnA deployment
In this section, you will walk through the different ways to interact with the deployed microservices. | ai_ref_knowledge | OPEA Documentation | ## Interacting with AudioQnA deployment
In this section, you will walk through the different ways to interact with the deployed microservices. | ## Interacting with AudioQnA deployment
In this section, you will walk through the different ways to interact with the deployed microservices. | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
2c3dfabc-d946-4749-b93f-5bf6fd75f978 | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 9 | opea-semantic-v1 | 5baaf091912d9dc9 | # GenAIComps git clone https://github.com/opea-project/GenAIComps.git cd GenAIComps git checkout tags/v${RELEASE_VERSION} cd ..
# GenAIExamples
git clone https://github.com/opea-project/GenAIExamples.git
cd GenAIExamples
git checkout tags/v${RELEASE_VERSION}
cd .. | ai_ref_knowledge | OPEA Documentation | # GenAIComps git clone https://github.com/opea-project/GenAIComps.git cd GenAIComps git checkout tags/v${RELEASE_VERSION} cd ..
# GenAIExamples
git clone https://github.com/opea-project/GenAIExamples.git
cd GenAIExamples
git checkout tags/v${RELEASE_VERSION}
cd .. | # GenAIComps git clone https://github.com/opea-project/GenAIComps.git cd GenAIComps git checkout tags/v${RELEASE_VERSION} cd ..
# GenAIExamples
git clone https://github.com/opea-project/GenAIExamples.git
cd GenAIExamples
git checkout tags/v${RELEASE_VERSION}
cd .. | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
2cbe9c9a-67cf-4d2b-981e-766148525671 | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 16 | opea-semantic-v1 | e42babd8863801a6 | :::::{tab-item} Pull
If you decide to pull the docker containers and not build them locally, you can proceed to the next step where all the necessary containers will be pulled in from Docker Hub. | ai_ref_knowledge | OPEA Documentation | :::::{tab-item} Pull
If you decide to pull the docker containers and not build them locally, you can proceed to the next step where all the necessary containers will be pulled in from Docker Hub. | :::::{tab-item} Pull
If you decide to pull the docker containers and not build them locally, you can proceed to the next step where all the necessary containers will be pulled in from Docker Hub. | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
2f8bf2a0-b4ac-4375-bc67-2fcd2c5b4e5d | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 15 | opea-semantic-v1 | 82c590fa1ae9fead | This step involves either building or pulling three required Docker images. Each image serves a specific purpose in the AudioQnA architecture.
::::::{tab-set} | ai_ref_knowledge | OPEA Documentation | This step involves either building or pulling three required Docker images. Each image serves a specific purpose in the AudioQnA architecture.
::::::{tab-set} | This step involves either building or pulling three required Docker images. Each image serves a specific purpose in the AudioQnA architecture.
::::::{tab-set} | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
34ba1429-a5a2-48b6-a56d-84e109fda7ce | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 34 | opea-semantic-v1 | 1b4e145de004bbbe | Note: add the following environment variables in compose yaml if meet issues for downloading models: ```bash HF_ENDPOINT: https://hf-mirror.com HF_HUB_ENABLE_HF_TRANSFER: false
### Validate microservice | ai_ref_knowledge | OPEA Documentation | Note: add the following environment variables in compose yaml if meet issues for downloading models: ```bash HF_ENDPOINT: https://hf-mirror.com HF_HUB_ENABLE_HF_TRANSFER: false
### Validate microservice | Note: add the following environment variables in compose yaml if meet issues for downloading models: ```bash HF_ENDPOINT: https://hf-mirror.com HF_HUB_ENABLE_HF_TRANSFER: false
### Validate microservice | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
35c0e779-4a8a-4578-9092-de8d5e2dc0c6 | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 54 | opea-semantic-v1 | 28893445e8166906 | ### Stop the services
Once you are done with the entire pipeline and wish to stop and remove all the containers, use the command below: | ai_ref_knowledge | OPEA Documentation | ### Stop the services
Once you are done with the entire pipeline and wish to stop and remove all the containers, use the command below: | ### Stop the services
Once you are done with the entire pipeline and wish to stop and remove all the containers, use the command below: | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
38561a83-98b4-4735-a528-e21088e7d8a1 | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 40 | opea-semantic-v1 | b605d8ce28aa00fc | To do a quick sanity check, try `docker ps -a` to see if all the containers are running.
```bash
| CONTAINER ID | IMAGE | COMMAND | CREATED | STATUS | PORTS | NAMES |
|--------------|-------------------------------------------------------------------|---------------------------|----------------|------------------------... | ai_ref_knowledge | OPEA Documentation | To do a quick sanity check, try `docker ps -a` to see if all the containers are running.
```bash
| CONTAINER ID | IMAGE | COMMAND | CREATED | STATUS | PORTS | NAMES |
|--------------|-------------------------------------------------------------------|---------------------------|----------------|------------------------... | To do a quick sanity check, try `docker ps -a` to see if all the containers are running.
```bash
| CONTAINER ID | IMAGE | COMMAND | CREATED | STATUS | PORTS | NAMES |
|--------------|-------------------------------------------------------------------|---------------------------|----------------|------------------------... | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
3b63aee0-8839-4f22-a986-db6beb5aed34 | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 46 | opea-semantic-v1 | c9d27bf2fa067dea | ### TGI Service
```bash
# tgi service
curl http://${host_ip}:3006/generate \
-X POST \
-d '{"inputs":"What is Deep Learning?","parameters":{"max_new_tokens":17, "do_sample": true}}' \
-H 'Content-Type: application/json' | ai_ref_knowledge | OPEA Documentation | ### TGI Service
```bash
# tgi service
curl http://${host_ip}:3006/generate \
-X POST \
-d '{"inputs":"What is Deep Learning?","parameters":{"max_new_tokens":17, "do_sample": true}}' \
-H 'Content-Type: application/json' | ### TGI Service
```bash
# tgi service
curl http://${host_ip}:3006/generate \
-X POST \
-d '{"inputs":"What is Deep Learning?","parameters":{"max_new_tokens":17, "do_sample": true}}' \
-H 'Content-Type: application/json' | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
4d7498a4-b25e-437c-9943-673109db4eed | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 18 | opea-semantic-v1 | c5d2c4f7b4656fee | ::::: :::::{tab-item} Build
Follow the steps below to build the docker images from within the `GenAIComps` folder. **Note:** For RELEASE_VERSIONS older than 1.0, you will need to add a 'v' in front
of ${RELEASE_VERSION} to reference the correct image on Docker Hub. | ai_ref_knowledge | OPEA Documentation | ::::: :::::{tab-item} Build
Follow the steps below to build the docker images from within the `GenAIComps` folder. **Note:** For RELEASE_VERSIONS older than 1.0, you will need to add a 'v' in front
of ${RELEASE_VERSION} to reference the correct image on Docker Hub. | ::::: :::::{tab-item} Build
Follow the steps below to build the docker images from within the `GenAIComps` folder. **Note:** For RELEASE_VERSIONS older than 1.0, you will need to add a 'v' in front
of ${RELEASE_VERSION} to reference the correct image on Docker Hub. | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation | |
4ff4fe73-8b8b-4f16-ab22-5f6cc04f07d2 | OPEA Documentation | file://datasets/opea-docs/tutorial/AudioQnA/deploy/gaudi.md | unknown | 2d6727be-f702-4d84-a699-49be5fb4af52 | 31 | opea-semantic-v1 | 371fe561b12753de | ## Deploy the use case
In this tutorial, we will be deploying via docker compose with the provided YAML file. The docker compose instructions should start all the above-mentioned services as containers. | ai_ref_knowledge | OPEA Documentation | ## Deploy the use case
In this tutorial, we will be deploying via docker compose with the provided YAML file. The docker compose instructions should start all the above-mentioned services as containers. | ## Deploy the use case
In this tutorial, we will be deploying via docker compose with the provided YAML file. The docker compose instructions should start all the above-mentioned services as containers. | opea, enterprise-ai, genai, docs, P1 | OPEA Documentation |
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