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Hello,
Thanks for the wonderful extension on PG. I am using on DigitialOcean for my SAAS app where i have different schemas for each tenant. I had installed PG vector in public schema, so that all the tenants could make use of them.
My app is built on OpenAI api and I am using the default method fr... | {
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I am trying to use the from_llm_and_api_docs() function with an API that only supports parameters via the "params" parameter in the request library:
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... | open | false | null | [] | null | 5 | 2023-08-12T04:58:36 | 2023-11-12T07:23:03 | null | NONE | null | ### System Info
langchain==0.0.262
aim==3.17.5
aim-ui==3.17.5
aimrecords==0.0.7
aimrocks==0.4.0
python: 3.11.4
env: MacOS
### Who can help?
@agola11
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding ... | {
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Replace this entire comment with:
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... | closed | false | null | [] | null | 2 | 2023-08-11T22:17:46 | 2023-08-14T22:48:36 | 2023-08-11T23:25:41 | COLLABORATOR | null | This is Part 2. See #9139 (Part 1). | {
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... | closed | false | null | [] | null | 2 | 2023-08-11T21:41:36 | 2023-08-11T21:45:22 | 2023-08-11T21:45:08 | NONE | null | ### System Info
langchain 0.0.262
text_generation_server. https://github.com/huggingface/text-generation-inference
### Who can help?
_No response_
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llm = OpenAI(temperature=0, model_name = args.ModelName)
system_message = SystemMessage(content=template)
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Ultimately it's a simple fix, but unfortunately poetry was not correctly installing dependencies in my environment so I was unable to run the unit test and lintin... | {
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... | closed | false | null | [] | null | 4 | 2023-08-11T18:48:05 | 2023-08-14T22:48:52 | 2023-08-11T20:09:31 | COLLABORATOR | null | Formatted docstrings from different formats to consistent format, lile:
>Loads processed docs from Docugami.
"Load from `Docugami`."
>Loader that uses Unstructured to load HTML files.
"Load `HTML` files using `Unstructured`."
>Load documents from a directory.
"Load from a directory."
- `Load` - no `Loads`... | {
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Issue: #6353
I had to implement this for working with the Ionic documentation, and wanted to open this up as a draft to get some guidance on building this out further. I wasn't sure if having it be a light extension of the SitemapLoader was in the spirit of a proper feature for the library -... | {
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... | closed | false | null | [] | null | 5 | 2023-08-11T17:44:03 | 2023-11-15T20:34:54 | 2023-10-25T20:36:58 | CONTRIBUTOR | null | - **Description**: Fix for the SPARQL QA chain: fixed SPARQL queries for retrieving information about relations in the graph to create a textual description of the schema for the language model. This should resolve #8907
- **Issue**: #8907
- **Dependencies**: None
- **Tag maintainer**: @baskaryan, @hwchase17
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`API Reference` `langchain.agents Functions` table unreadable:
The `name` column is soo long, which makes the `description` column unreadable.
It is because of this value:... | {
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**Make the intent identification (SELECT vs UPDATE) within the SPARQL QA chain more resilient**
As originally described in #7758 and further discussed in #8521, some models struggle with providing an unambiguous response to the intent identification prompt, i.e., they return a sentence that contai... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9131 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9131/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9131/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9131/events | https://github.com/langchain-ai/langchain/pull/9131 | 1,847,139,430 | PR_kwDOIPDwls5XvlYa | 9,131 | zep/zep-python 1.0 compat | {
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"id": 56... | closed | false | null | [] | null | 2 | 2023-08-11T16:49:30 | 2023-08-15T13:20:49 | 2023-08-15T02:11:01 | CONTRIBUTOR | null | Updating Zep's ZepRetriever and ZepChatHistory classes. The former to be compatible with VectorStoreRetrieverMemory. Both for compatibility with zep-python 1.0.
- update zep-python to 1.0.1
- ZepChatHistory, ZepRetriever to zep-python 1.0 compat
- Update ZepRetriever + ZepChatHistory unit tests
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https://api.github.com/repos/langchain-ai/langchain/issues/9130 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9130/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9130/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9130/events | https://github.com/langchain-ai/langchain/issues/9130 | 1,847,137,279 | I_kwDOIPDwls5uGRP_ | 9,130 | LangChain tools as gpt func, always fails at the JSON decode | {
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Python 3.10
LangChain: 0.0.245
### Who can help?
@hwchase17
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
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I have an extremely simple setup where I created a GH app following the [Github App Quickstart Guide](https://docs.github.com/en/apps/creating-github-apps/writing-code-for-a-github-app/quickstart). I then start a blank repo with the template `README.md` (just the name of the repo in a title).
The ag... | {
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in sagemaker.
langchain==0.0.256 or 0.0.249 (I tried both)
Image: Data Science 3.0
Kernel: Python 3
Instance type: ml.t3.medium 2 vCPU + 4 GiB
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [X] My own modified scripts
### Related Com... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9126 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9126/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9126/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9126/events | https://github.com/langchain-ai/langchain/pull/9126 | 1,847,029,475 | PR_kwDOIPDwls5XvNXp | 9,126 | fix MRKLOutputParser | {
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This PR aims to fix the output parser when the agent hallucinates.
Indeed, sometimes the agent outputs an hallucinated **Observation** resulting to errors.
Also, when the agent have found the **Final Answer**, it happens that the agent loops to a new hallucinated question and start the MRKL process... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9125 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9125/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9125/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9125/events | https://github.com/langchain-ai/langchain/pull/9125 | 1,846,983,070 | PR_kwDOIPDwls5XvC11 | 9,125 | dalle nb fix | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9123 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9123/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9123/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9123/events | https://github.com/langchain-ai/langchain/pull/9123 | 1,846,973,110 | PR_kwDOIPDwls5XvAng | 9,123 | Create pydantic v1 namespace, add partial compatibility for pydantic v2 | {
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This PR creates pydantic v1 namespace and adds it to sys.modules.
Upcoming changes:
1. Handle `openapi-schema-pydantic = "^1.2"` and dependent chains/tools
2. bump dependencies to versions that are cross compatible for pydantic or remove ... | {
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langchain==0.0.260
model = "gpt-3.5-turbo-16k"
temperature = 0.0
### Who can help?
@hwchase17 and @agola11
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [X] Prom... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9120 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9120/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9120/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9120/events | https://github.com/langchain-ai/langchain/issues/9120 | 1,846,760,511 | I_kwDOIPDwls5uE1Q_ | 9,120 | Add `do_sample` to HuggingFaceTextGenInference | {
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Many parameters described on the TGI [Swagger](https://huggingface.github.io/text-generation-inference/#/Text%20Generation%20Inference/generate) find their direct equivalent in the corresponding LangChain [API](https://api.python.langchain.com/en/latest/llms/langchain.llms.huggingface_text_gen_infe... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9119 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9119/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9119/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9119/events | https://github.com/langchain-ai/langchain/issues/9119 | 1,846,740,678 | I_kwDOIPDwls5uEwbG | 9,119 | Chain for planning using PDDL | {
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__A chain for planning using the [Planning Domain Definition Language](https://en.wikipedia.org/wiki/Planning_Domain_Definition_Language) and a dedicated solver__
As described in this [paper by Liu et al.](https://arxiv.org/abs/2304.11477), the LLM can generate the PDDL inputs required by a solver... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9118 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9118/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9118/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9118/events | https://github.com/langchain-ai/langchain/issues/9118 | 1,846,659,504 | I_kwDOIPDwls5uEcmw | 9,118 | StructuredOutputParser.get_format_instructions with only_json=True doesn't return the closing backticks | {
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... | closed | false | null | [] | null | 1 | 2023-08-11T11:26:35 | 2023-11-17T16:05:19 | 2023-11-17T16:05:18 | NONE | null | ### System Info
- langchain version 0.0.262
- Python version 3.10
### Who can help?
Users I've found through blame ([exact commit](https://github.com/langchain-ai/langchain/commit/1d649b127eb10c426f9b9a67cbd1fe6ec8e6befa)):
- @MassimilianoBiancucci
- @baskaryan
### Information
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https://api.github.com/repos/langchain-ai/langchain/issues/9117 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9117/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9117/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9117/events | https://github.com/langchain-ai/langchain/issues/9117 | 1,846,559,683 | I_kwDOIPDwls5uEEPD | 9,117 | BedrockEmbeddings can't load aws credential profile | {
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"id":... | closed | false | null | [] | null | 8 | 2023-08-11T10:10:30 | 2023-10-09T07:00:40 | 2023-08-11T14:08:13 | NONE | null | ### System Info
langchain==0.0.261
python 3.10
------------------
ValidationError Traceback (most recent call last)
Cell In[17], line 1
----> 1 embeddings = BedrockEmbeddings(
2 credentials_profile_name="monisdas-ibm", region_name="us-east-1"
3 )
4 vectorstor... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9115 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9115/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9115/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9115/events | https://github.com/langchain-ai/langchain/pull/9115 | 1,846,494,110 | PR_kwDOIPDwls5XtXjt | 9,115 | Fix web research retriever for unknown links in results | {
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"followers_url": "https:... | null | 2 | 2023-08-11T09:24:52 | 2023-08-11T17:50:38 | 2023-08-11T17:50:37 | CONTRIBUTOR | null | Fixes an issue with web research retriever for unknown links in results. This is currently making the retrieve crash sometimes.
@rlancemartin | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9114 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9114/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9114/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9114/events | https://github.com/langchain-ai/langchain/pull/9114 | 1,846,440,414 | PR_kwDOIPDwls5XtLy8 | 9,114 | feat(llms): support ernie chat | {
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Replace this entire comment with:
- Description: a description of the change,
- Issue: the issue # it fixes (if applicable),
- Dependencies: any dependencies required for this change,
- Tag maintainer: for a quicker response, tag the relevant maintainer (see... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9113 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9113/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9113/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9113/events | https://github.com/langchain-ai/langchain/pull/9113 | 1,846,425,202 | PR_kwDOIPDwls5XtIfz | 9,113 | `ArgillaCallbackHandler` to properly use default values for `api_url` and `api_key` | {
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... | closed | false | null | [] | null | 2 | 2023-08-11T08:33:37 | 2023-08-11T16:48:47 | 2023-08-11T16:37:07 | CONTRIBUTOR | null | Hi to @agola11 or whoever is reading this! 🤗
## What's in this PR?
As of the recent PR at #9043, after some testing we've realised that the default values were not being used for `api_key` and `api_url`. Besides that, the default for `api_key` was set to `argilla.apikey`, but since the default values are intend... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9112 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9112/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9112/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9112/events | https://github.com/langchain-ai/langchain/issues/9112 | 1,846,424,735 | I_kwDOIPDwls5uDjSf | 9,112 | openai.error.InvalidRequestError: Too many inputs. | {
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"id":... | closed | false | null | [] | null | 3 | 2023-08-11T08:33:13 | 2023-12-28T16:06:57 | 2023-12-28T16:06:56 | NONE | null | HI,
Is that azure Openai embedding had limitation ?
Traceback (most recent call last):
File "D:\Corent\AI\LangChain\azure\azure_connection.py", line 45, in <module>
VectorStore = Milvus.from_texts(
^^^^^^^^^^^^^^^^^^
File "D:\Corent\AI\LangChain\azure\venv\Lib\site-packages\langchain\v... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9111 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9111/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9111/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9111/events | https://github.com/langchain-ai/langchain/issues/9111 | 1,846,415,172 | I_kwDOIPDwls5uDg9E | 9,111 | Issue: when using the map_rerank & refine, occur the " list index out of range" (already modify the llm.py file, but only map_reduce can work well) | {
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... | closed | false | null | [] | null | 6 | 2023-08-11T08:26:10 | 2023-12-06T17:44:20 | 2023-12-06T17:44:19 | NONE | null | ### Issue you'd like to raise.
I just tried the simple example with the latest version of langchain, but I meet the problem with " list index out of the range", when I modify the chain_type in "RetrievalQA.from_chain_type" function, the error messages are as follows :
map_rerank :
-------------------------------... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9110 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9110/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9110/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9110/events | https://github.com/langchain-ai/langchain/issues/9110 | 1,846,399,416 | I_kwDOIPDwls5uDdG4 | 9,110 | LLM with empty list of document | {
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... | closed | false | null | [] | null | 1 | 2023-08-11T08:14:57 | 2023-08-16T07:14:35 | 2023-08-16T07:14:35 | CONTRIBUTOR | null | ### System Info
If, for some reason, the list of document is empty, an exception is sent from llm.py.
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Pro... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9109 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9109/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9109/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9109/events | https://github.com/langchain-ai/langchain/pull/9109 | 1,846,398,836 | PR_kwDOIPDwls5XtCvZ | 9,109 | Fix bug in llm.py when the list of documents is empty | {
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... | closed | false | null | [] | null | 2 | 2023-08-11T08:14:26 | 2023-08-11T16:38:30 | 2023-08-11T16:38:29 | CONTRIBUTOR | null | llm.prep_prompts(input_list=[])
throw exception.
I fix this bug. | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9105 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9105/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9105/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9105/events | https://github.com/langchain-ai/langchain/pull/9105 | 1,846,367,407 | PR_kwDOIPDwls5Xs77Q | 9,105 | fix: chunk_size passing | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9104 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9104/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9104/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9104/events | https://github.com/langchain-ai/langchain/pull/9104 | 1,846,358,624 | PR_kwDOIPDwls5Xs59G | 9,104 | fix: chunk_size passing | {
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I am using Elasticsearch BM25 to fetch relevant documents. How can I add a parameter to tell the retriever to return only first n matching docs?
### Suggestion:
_No response_ | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9102 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9102/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9102/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9102/events | https://github.com/langchain-ai/langchain/pull/9102 | 1,846,350,706 | PR_kwDOIPDwls5Xs4Or | 9,102 | Minor grammatical error | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9101 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9101/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9101/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9101/events | https://github.com/langchain-ai/langchain/issues/9101 | 1,846,348,024 | I_kwDOIPDwls5uDQj4 | 9,101 | ConversationalRetrievalChain having trouble with vector store retriever 'as_retriever()' | {
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Code snapshot:
Data in Azure Cognitive Search Vector Store:
data ={
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https://api.github.com/repos/langchain-ai/langchain/issues/9100 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9100/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9100/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9100/events | https://github.com/langchain-ai/langchain/issues/9100 | 1,846,343,465 | I_kwDOIPDwls5uDPcp | 9,100 | sync problem | {
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IMPORTANT: chain.acall is a async function.
Chain.prep_inputs will invoke memory.load_memory_variables
in ConversationBufferWindowMemory.load_memory_variables.
```p... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9099 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9099/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9099/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9099/events | https://github.com/langchain-ai/langchain/issues/9099 | 1,846,323,394 | I_kwDOIPDwls5uDKjC | 9,099 | Lazy import in vectorstore | {
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To import a big list of documents in a vectorstore, you must load all the documents in memory, split the documents, and import the list of documents.
They consume a lot of memory just to import. Sometime, the number of documents is too big to feet in memory.
I propose to generalize the `lazy_... | {
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because i don't see support streaming on the Bedrock code.
If can, can you give me example for use streaming on bedrock? | {
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Minor edit to PR#845
@baskaryan - following up on this comment thread:
https://github.com/langchain-ai/langchain/pull/845#issuecomment-1673520449
Thanks! | {
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langchain==0.0.261
### Who can help?
@hwchase17
### Information
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- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
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Can the atomicity of multiple write operations be guaranteed through the Agent
### Motivation
If two actions need to be executed within an agent and each action modifies the status of external tools or services, then if the first action writing operation is successful and the second act... | {
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```py
In [21]: langchain.__version__
Out[21]: '0.0.223'
In [24]: sys.platform
Out[24]: 'win32'
In [25]: !python -V
Python 3.10.10
```
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_No response_
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Sometimes, GPT might not accurately portray characters or tools, so before I ask GPT a question, I need to come up with a set of prompts.
However, in most cases, these prompts may not capture the characteristics of the characters or tools effectively. To address this, I've developed a pip package... | {
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* Remove the "fireworks-" prefix from Fireworks model names
* Switch web app link from platform.fireworks.ai to app.fireworks.ai
* Minor formatting changes
Issue: N/A
Dependencies: N/A
Tag maintainer: @rlancemartin
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"langchain": "^0.0.125"
Windows 11 x64
### Who can help?
@nfcampos
### Information
- [X] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors... | {
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I think the `ResponseScheam` and `StructuredOutputParser` functionality is really convenient but unfortunately, it often fails in my use case due to the model outputting a slightly wrongly formatted JSON. It's usually due to extra or missing quotes.
Any suggestions on how to solve th... | {
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I am using langchain in a different language, but I cannot change the following sentence as it is hard-coded into the Agent class
```
thoughts += (
"\n\nI now need to return a final answer based on the previous steps:"
)
```
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I am creating a chatbot that records the history of the conversation through vectors in my vector store per user that uses the chatbot, and for this, I identify who is the owner of the vectors through metadata.
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Added ut-s for this fix.
@eyurtsev
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Replace this comment with:
- Descriptio... | {
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Traceback (most recent call last):
File "D:\Corent\AI\LangChain\azure\azure_connection.py", line 29, in <module>
VectorStore = Milvus.from_texts(
^^^^^^^^^^^^^^^^^^
File "D:\Corent\AI\LangChain\... | {
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... | open | false | null | [] | null | 6 | 2023-08-10T16:38:00 | 2023-11-13T06:31:43 | null | CONTRIBUTOR | null | **Description:**
Refactored the `GoogleSearchAPIWrapper` to utilize the `requests` library for direct interactions with the Google Custom Search API. This eliminates the dependency on the `google-api-python-client` library, significantly reducing the filesystem footprint.
**Reasoning:**
Upon closer inspection, I... | {
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... | closed | false | null | [] | null | 2 | 2023-08-10T15:45:03 | 2023-11-16T16:05:16 | 2023-11-16T16:05:15 | CONTRIBUTOR | null | ### System Info
Langchain 0.247
Python 3.10.11
### Who can help?
@chase
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [X] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] D... | {
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... | closed | false | null | [] | null | 1 | 2023-08-10T15:30:42 | 2023-08-10T16:07:01 | 2023-08-10T16:07:00 | CONTRIBUTOR | null | - Description: Fixes an issue with Metaphor Search Tool throwing when missing keys in API response.
- Issue: #9048
- Tag maintainer: @hinthornw @hwchase17
- Twitter handle: @pelaseyed
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https://api.github.com/repos/langchain-ai/langchain/issues/9050 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9050/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9050/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9050/events | https://github.com/langchain-ai/langchain/pull/9050 | 1,845,419,778 | PR_kwDOIPDwls5Xpusf | 9,050 | remove the last ";" if the SQL is end with ";" | {
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Replace this comment with:
- Description: remote the useless ; in the end of the sql
- Issue: If the sql is end with ";", it will have some problem for hive with sqlalchemy (if applicable),
- Dependencies: any dependencies required for this change,
- Tag main... | {
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# To ensure consistency between the keys of 'index_to_docstore_id' and the indices of vectors in the Faiss Index, modify the keys of 'index_to_docstore_id' to consecutive numbers, like 0, 3, 4 - > 0, 1, 2.... | {
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... | closed | false | null | [] | null | 5 | 2023-08-10T15:22:58 | 2023-11-19T16:05:16 | 2023-11-19T16:05:15 | CONTRIBUTOR | null | ### System Info
LangChain: v0.0.260
Python: v3.11
### Who can help?
@hwchase17 @eyurtsev
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Outp... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9047 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9047/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9047/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9047/events | https://github.com/langchain-ai/langchain/issues/9047 | 1,845,411,321 | I_kwDOIPDwls5t_r35 | 9,047 | ArxivLoader support searching by arxiv id_list | {
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... | closed | false | null | [] | null | 3 | 2023-08-10T15:21:01 | 2023-11-22T16:06:59 | 2023-11-22T16:06:58 | NONE | null | ### Feature request
If I know exactly what paper(s) I'd like to load, it would be nice to be able to retrieve them by their arxiv IDs. The arxiv library seems to support this:
```
import arxiv
paper = next(arxiv.Search(id_list=["1605.08386v1"]).results())
```
### Motivation
Sometimes searching by exact paper... | {
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... | closed | false | null | [] | null | 4 | 2023-08-10T15:18:24 | 2023-08-10T18:59:41 | 2023-08-10T18:59:40 | NONE | null | ### System Info
Latest pip versions
### Who can help?
@eyurtsev
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [X] Document ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/9045 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/9045/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/9045/comments | https://api.github.com/repos/langchain-ai/langchain/issues/9045/events | https://github.com/langchain-ai/langchain/pull/9045 | 1,845,405,137 | PR_kwDOIPDwls5Xprbw | 9,045 | Takeoff integration | {
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This PR adds the Titan Takeoff Server to the available LLMs in LangChain.
Titan Takeoff is an inference server created by [TitanML](https://www.titanml.co/) that allows you to deploy large language models locally on your hardware in a single command. Most generative model architectures are included,... | {
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* Update notebook to show how to use redis store, and some fixes in documentation
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... | closed | false | null | [] | null | 2 | 2023-08-10T14:58:28 | 2023-08-10T17:59:47 | 2023-08-10T17:59:46 | CONTRIBUTOR | null | Hi @agola11, or whoever is reviewing this PR 😄
## What's in this PR?
As of the latest Argilla release, we'll change and refactor some things to make some workflows easier, one of those is how everything's pushed to Argilla, so that now there's no need to call `push_to_argilla` over a `FeedbackDataset` when eith... | {
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