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https://api.github.com/repos/langchain-ai/langchain/issues/7950 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7950/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7950/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7950/events | https://github.com/langchain-ai/langchain/pull/7950 | 1,812,439,499 | PR_kwDOIPDwls5V6zWN | 7,950 | Reduce generation of temporary objects | {
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"url... | closed | false | null | [] | null | 1 | 2023-07-19T17:59:15 | 2023-08-04T04:24:09 | 2023-08-04T04:24:09 | CONTRIBUTOR | null | Just a tiny change to use `list.append(...)` and `list.extend(...)` instead of `list += [...]` so that no unnecessary temporary lists are created.
Since its a tiny miscellaneous thing I guess @baskaryan is the maintainer to tag? | {
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I'm getting this back from my LLM:
Observation: Use Search is not a valid tool, try another one.
Obviously the LLM would like to use the search tool, but didn't request it just right. It seems LangChain has been thoroughly tested with OpenAI, but not so much other models. Which is totally und... | {
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... | closed | false | null | [] | null | 1 | 2023-07-19T17:20:48 | 2023-07-19T17:23:11 | 2023-07-19T17:23:10 | COLLABORATOR | null | <!-- Thank you for contributing to LangChain!
Replace this 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 below)... | {
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"node_id... | closed | false | null | [] | null | 2 | 2023-07-19T17:01:47 | 2023-10-25T16:06:01 | 2023-10-25T16:06:00 | NONE | null | ### Issue with current documentation:
Hello every one!
I am following the tutorial of [OpenAI function Agent ](https://python.langchain.com/docs/modules/agents/agent_types/openai_functions_agent).
I downloaded the chinook database in MySQL , I made the connection successfully and got good answers from this... | {
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"url... | closed | false | null | [] | null | 2 | 2023-07-19T16:28:41 | 2023-07-21T15:20:33 | 2023-07-21T05:17:55 | COLLABORATOR | null | The `sql_database.py` is unnecessarily placed in the root code folder.
A similar code is usually placed in the `utilities/`.
As a byproduct of this placement, the sql_database is [placed on the top level of classes in the API Reference](https://api.python.langchain.com/en/latest/api_reference.html#module-langchain.sq... | {
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... | closed | false | null | [] | null | 3 | 2023-07-19T16:06:55 | 2023-11-12T10:43:32 | 2023-10-25T16:06:06 | NONE | null | ### System Info
langchain: 0.0.236
### Who can help?
@eyurtsev
When attempting to load a JSON file from S3, I encounter the following error:
`An error occurred: Json schema does not match the Unstructured schema`
Don't know if it is related to https://github.com/hwchase17/langchain/issues/2222
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The modification includes:
* etherscanLoader
* test_etherscan
* document ipynb
I have run the test, lint, format, and spell check. I do encounter a linting error on ipynb, I am not sure how to address that.
```
docs/extras/modules/data_connection/document_loaders/integrations/Etherscan.ipynb:55:... | {
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- Description: Added a parameter in VectorStoreRetrieverMemory which filters the input given by the key when constructing the buffering the document for Vector. This feature is helpful if you have certain inputs apart from the VectorMemory's own memory_key that needs to be ignored e.g when using combined memory, we... | {
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- Description: Get SQL Cmd directly generated by SQL-Database Chain without executing it in the DB engine.
- Issue: #4853
- Tag maintainer: @hinthornw,@baskaryan
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Added a check for "content" in _dict (missing for azure api=2023-07-01-preview)
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We don't have enough documentation Conversational chain and found only documentation relates conversational retrieval chain. We are looking for separating the retriever functionality. Please provide some examples on passing context (lang chain documents ) to conversational chain
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Langchain v0.0.235
### Who can help?
@hwchase17 @agola11
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [X] Out... | {
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Replace this 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 below)... | {
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I run my code in google colab. [this is link to code.](https://colab.research.google.com/drive/1vqTz68WVT7qCGpDSahROztCUphmXy9xI?usp=sharing)
processor : 0
vendor_id : GenuineIntel
cpu family : 6
model : 79
model name : Intel(R) Xeon(R) CPU @ 2.20GHz
stepping : 0
microcode : 0xffffffff
cpu M... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7929 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7929/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7929/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7929/events | https://github.com/langchain-ai/langchain/pull/7929 | 1,811,569,569 | PR_kwDOIPDwls5V3zlk | 7,929 | chore(hf-text-gen): extract default params for reusing | {
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... | closed | false | null | [] | null | 1 | 2023-07-19T09:37:15 | 2023-07-20T13:49:12 | 2023-07-20T13:49:12 | CONTRIBUTOR | null | This PR extract common code (default generation params) for `HuggingFaceTextGenInference`.
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LangChain Version- 0.0.235, Windows, Python Version-3.9.16
As per below source code of SQLDatabase, before executing any sql query, connection.exec_driver_sql(f"SET search_path TO {self._schema}") is executed for all database except 'snowflake' and 'bigquery'.
if self._schema is not None:
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https://api.github.com/repos/langchain-ai/langchain/issues/7927 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7927/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7927/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7927/events | https://github.com/langchain-ai/langchain/pull/7927 | 1,811,380,064 | PR_kwDOIPDwls5V3KBY | 7,927 | Adding endpoint_url to embeddings/bedrock.py and updated docs | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7926 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7926/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7926/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7926/events | https://github.com/langchain-ai/langchain/issues/7926 | 1,811,368,550 | I_kwDOIPDwls5r90pm | 7,926 | llm can only use OpenAI? | {
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when I use langchain.agents,the parameter llm can only use OpenAI or other large language model ?
### Suggestion:
_No response_ | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7925 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7925/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7925/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7925/events | https://github.com/langchain-ai/langchain/issues/7925 | 1,811,334,507 | I_kwDOIPDwls5r9sVr | 7,925 | Bedrock Embeddings: Add support for endpoint_url | {
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Bedrock Embeddings doesn't have support for modifying the endpoint_url, the LLMs one have.
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [X] Embedding Models
- [ ] Prompts ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7924 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7924/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7924/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7924/events | https://github.com/langchain-ai/langchain/issues/7924 | 1,811,300,473 | I_kwDOIPDwls5r9kB5 | 7,924 | Issue: Cannot replicate search function on Langchain Milvus | {
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Hi I've tried doing the search functionalities using pymilvus and everything works perfectly fine doing similarity search, i am able to get the most relevant documents. However, when i try using the same credentials and parameters on Langchain.vectorstore.Milvus i am unable to replicate ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7923 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7923/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7923/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7923/events | https://github.com/langchain-ai/langchain/issues/7923 | 1,811,270,099 | I_kwDOIPDwls5r9cnT | 7,923 | InvalidRequestError: Resource not found. when running pandas_dataframe_agent over AzureOpenAI | {
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langchain version: 0.0.216
### Who can help?
_No response_
### Information
- [X] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
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https://api.github.com/repos/langchain-ai/langchain/issues/7922 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7922/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7922/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7922/events | https://github.com/langchain-ai/langchain/pull/7922 | 1,811,256,887 | PR_kwDOIPDwls5V2vWV | 7,922 | Add k param for return top documents | {
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- Issue: the issue # it fixes (if applicable),
- Dependencies: no,
- Tag maintainer: @rlancemartin, @eyurtsev
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https://api.github.com/repos/langchain-ai/langchain/issues/7921 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7921/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7921/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7921/events | https://github.com/langchain-ai/langchain/issues/7921 | 1,811,200,154 | I_kwDOIPDwls5r9Lia | 7,921 | Issue: Not getting good chat results on enabling Coversation Memory in langchain | {
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Hi,
Here is how i have initilized conversation memory
memory = ConversationSummaryBufferMemory(llm=llm_model,memory_key="chat_history",return_messages=True,max_token_limit=500)
Here is how I have used ConversationalRetrievalChain
chain=ConversationalRetrievalChain.from_llm(llm_model... | {
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Example run: https://dev.smith.langchain.com/public/674633d8-9c38-4cdc-bd11-53202879fad1/r
Would like alignment on
- New base class vs update existing
- Whether OK to stop supporting 'chunk_si... | {
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I made some code changes on Hologres vector store to improve the data insertion performance.
The code has passed the format/lint/spell check. And I have run the unit test for Hologres connecting to my own database.
Please check this PR, thanks!
@rlancemartin, @eyurtsev
Best,
Changgeng
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Please review @hwchase17, @baskaryan
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- Issue: [#7900](https://github.com/hwchase17/langchain/issues/7900)
- Dependencies: None
- Tag maintainer: @agola11 @hwchase17
- Twitter handle: @alonsosilva | {
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cc: @liangz1 Can this be done in a more straightfoward way? | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7905 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7905/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7905/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7905/events | https://github.com/langchain-ai/langchain/issues/7905 | 1,810,665,965 | I_kwDOIPDwls5r7JHt | 7,905 | Implementing search threshold on PGVector | {
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Implementing _similarity_search_with_relevance_scores on PGVector so users can set "search_type" to "similarity_score_threshold" without raising NotImplementedError.
```
retriever = pgvector.as_retriever(search_type="similarity_score_threshold", search_kwargs={"score_threshold": 0.7}) ... | {
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It would be nice if HuggingFaceHub models could be called in async mode (concurrently), as currently supported by Anthropic and OpenAI models.
### Motivation
I wanted to compare performance of some models in a bunch of tasks. I was comparing Anthropic and OpenAI models, and when I tried using a H... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7900 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7900/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7900/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7900/events | https://github.com/langchain-ai/langchain/issues/7900 | 1,810,580,170 | I_kwDOIPDwls5r60LK | 7,900 | ChatOpenAI needs usage field that Google PaLM 2 Bison doesn't provide | {
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"id":... | closed | false | null | [] | null | 2 | 2023-07-18T19:25:22 | 2023-09-22T07:58:21 | 2023-09-22T07:58:21 | CONTRIBUTOR | null | ### System Info
Langhain v0.0.235
Python v3.11
### Who can help?
@agola11 @hw
### 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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Replace this 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 below)... | {
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Occasional error out of CSV agent with JSON parsing error. Typically occurs when prompting a multi step task, but some multi step tasks are handled fine. Even in the same multi step task, depending on the wording of the prompt it can be run successfully but with different wording will error out.
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Hi,
I'm updating my code to use the new OpenAI function calling structure.
Requirements:
- New messages saved in DynamoDB together with past messages for a user
- Custom prompt : 10 last messages from DynamoDB memory of the user
- Function calling
### Past code
The `create... | {
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Mac OS
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Python 3.8.15
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aiohttp | 3.8.4
aiosignal | 1.3.1
async-timeout | 4.0.2
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certifi |2023.5.7
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Simplified namespace to reduce a column length in the API Reference table for the `Agents`.
Right now the `agents.agent_toolkits.azure_cognitive_services.toolkit.AzureCognitiveServicesToolkit` name makes the first column [unbalanced with the second column](https://api.python.langchain.com/en/la... | {
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@baskaryan
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- Issue: the issue #7887
For attention of
- DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev | {
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With the addition on email and calendar tools, LangChain is continuing to complete its functionality to automate business processes.
## Challenge
One of the pieces of business functionality that LangChain currently doesn't have is the ability to search for flights and travel in order to book business... | {
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Langchain version - 0.0.235
Python version - 3.10
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- ... | {
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Replace this comment with:
- Description: a description of the change,
- Issue: the issue # it fixes (if applicable),
- Dependencies: any dependencies required for this change,
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- Python 3.9.13
- langchain-0.0.235-py3-none-any.whl
- chromadb-0.4.0-py3-none-any.whl
### Who can help?
_No response_
### Information
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- [x] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts ... | {
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When entering the embed text in the database like pgvector, I would like to encrypt the raw text with KMS Key or any such encryption and use raw text for generating embedding
### Motivation
Security
### Your contribution
N/A | {
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what is the difference between a conversationChain and a conversationalRetrieval chain. I had originially assumed that the conversational retrieval chain would be able to take in documents, input, and memory (which I have gotten to successfully work) and was under the assumption that the... | {
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"url... | closed | false | null | [] | null | 2 | 2023-07-18T14:42:05 | 2023-07-18T15:13:58 | 2023-07-18T15:05:41 | CONTRIBUTOR | null | Azure GPT-4 models can't be accessed via LLM model. It's easy to miss that and a lot of discussions about that are on the Internet. Therefore I added a comment in Azure LLM docs that mentions that and points to Azure Chat OpenAI docs.
@baskaryan
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When using the python_repl tool with the ZeroShotAgent, I keep getting the following error: `Observation: SyntaxError('invalid syntax', ('<string>', 2, 1, '%matplotlib inline\n'))
Thought:`
The agent keeps looping over and over since it does not understand the issue with the magic comm... | {
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I think it'd be a good idea to have Langchain integrated into the fast healthcare interoperability resource (FHIR) API. Integrating chatting techniques with FHIR and having the ability to interact with ChatOpenAI would give FHIR more visibility, versatility, and adaptability in terms of use cases i... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7880 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7880/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7880/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7880/events | https://github.com/langchain-ai/langchain/pull/7880 | 1,809,854,935 | PR_kwDOIPDwls5VyC8o | 7,880 | ArangoDB/AQL support for Graph QA Chain | {
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"url... | closed | false | null | [] | null | 8 | 2023-07-18T12:44:22 | 2023-07-24T22:16:53 | 2023-07-24T22:16:53 | CONTRIBUTOR | null | **Description**: Serves as an introduction to LangChain's support for [ArangoDB](https://github.com/arangodb/arangodb), similar to https://github.com/hwchase17/langchain/pull/7165 and https://github.com/hwchase17/langchain/pull/4881
**Issue**: No issue has been created for this feature
**Dependencies**: `python-a... | {
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... | closed | false | null | [] | null | 9 | 2023-07-18T10:58:52 | 2023-10-26T16:05:59 | 2023-10-26T16:05:58 | NONE | null | ### System Info
I am using the following codes to get api call:
user_query = prompt.format_prompt(user_prompt=input_text)
user_query_output = chat_model(user_query.to_messages())
I am using Django and since it takes some time to get response the entire page freezes. Is there anyway to ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7878 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7878/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7878/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7878/events | https://github.com/langchain-ai/langchain/issues/7878 | 1,809,601,350 | I_kwDOIPDwls5r3FNG | 7,878 | openai.error.InvalidRequestError: The completion operation does not work with the specified model, gpt-4. Please choose different model and try again. You can learn more about which models can be used with each operation here: https://go.microsoft.com/fwlink/?linkid=2197993. | {
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"id":... | closed | false | null | [] | null | 2 | 2023-07-18T10:01:28 | 2023-07-19T04:44:19 | 2023-07-19T04:44:19 | NONE | null | ### System Info
langchain==0.0.219
python 3.9
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [X] LLMs/Chat Models
- [X] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7877 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7877/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7877/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7877/events | https://github.com/langchain-ai/langchain/pull/7877 | 1,809,594,246 | PR_kwDOIPDwls5VxJuS | 7,877 | Add Portkey LLMOps integration | {
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"url... | closed | false | null | [] | null | 3 | 2023-07-18T09:57:05 | 2023-07-20T16:08:45 | 2023-07-20T16:08:44 | CONTRIBUTOR | null | Integrating Portkey, which adds production features like caching, tracing, tagging, retries, etc. to langchain apps.
- Dependencies: None
- Twitter handle: https://twitter.com/portkeyai
- test_portkey.py added for tests
- example notebook added in new utilities folder in modules
Also fixed a bug wit... | {
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I came to know that we can do the document question answering in langchain in different ways. One way is - using **load_qa_chain**
Also it seems there are two ways to use **load_qa_chain**
1) with **run()**
```
from langchain.chains.question_answering import load_qa_chain
cha... | {
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The current Telegram loader is not very flexible. For example:
```
async for message in client.iter_messages(self.chat_entity):
```
Here are the arguments available in the api
```
def iter_messages(
self: 'TelegramClient',
entity: 'hints.EntityLike',
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Running on Colab.
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Document... | {
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... | closed | false | null | [] | null | 1 | 2023-07-18T05:51:46 | 2023-07-18T05:58:48 | 2023-07-18T05:58:47 | COLLABORATOR | null | Some docstring / small nits to #6003 | {
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**When i try to use Multiprompt chain getting the below error. Any Suggestions for Solving this Issue??**
ValidationError: 16 validation errors for MultiPromptChain destination_chains -> list -> database extra fields not permitted (type=value_error.extra) destination_chains -> list -> input_key extra fields... | {
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- Description: Added the ability to define the open AI model.
- Issue: Currently the Doctran instance uses gpt-4 by default, this does not work if the user has no access to gpt -4.
- rlancemartin, @eyurtsev, @baskaryan
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@baskaryan
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latest
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [ ] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Document Loaders
- ... | {
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Replace this 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 below)... | {
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2. Add the text page_content filter of documents
3. fix the bug of similarity_search_with_score
Improvement and fix bug of AwaDB
Fix the conflict https://github.com/hwchase17/langchain/pull/7840
@rlancemartin @eyurtsev Thanks!
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Issue: This PR is a solution to the ... | {
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Here I am adding documentation for the `PromptLayerCallbackHandler`.
When we created the initial PR for the callback handler the docs were causing issues, so we merged without the docs. | {
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@baskaryan
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Added a retriever that encapsulated Google Cloud Enterprise Search.
@rlancemartin, @eyurtsev
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The WeaviateHybridSearchRetriever does not currently have an option to retrieve scores and explanations. The lack of this feature limits the usability of the retriever, as users cannot gain insights into the scoring logic behind the search results. The feature to retrieve scores and explanations, a... | {
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Langchain version 0.0.226
M1 Mac
Python 3.11.3
### Who can help?
@hwchase17 @mmz-001
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified scripts
### Related Components
- [ ] LLMs/Chat Models
- [ ] Embedding Models
- [ ] Prompts / Prompt Templates... | {
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tagging @hwchase17 and @agola11 for callbacks propagation
<!-- Thank you for contributing to LangChain!
Replace this comment with:
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https://api.github.com/repos/langchain-ai/langchain/issues/7851 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7851/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7851/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7851/events | https://github.com/langchain-ai/langchain/issues/7851 | 1,808,378,977 | I_kwDOIPDwls5ryaxh | 7,851 | Error while creating WeaviateHybridSearchRetriever instance | {
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LangChain version: 0.0.232
Python version: 3.10.8
Platform: Windows 11, VS Code
For following usage of WeaviateHybridSearchRetriever -
`w_url = os.environ["WEAVIATE_URL"]`
`api_key_w= weaviate.AuthApiKey(api_key=os.environ["WEAVIATE_API_KEY"])`
`wclient = weaviate.Client(url=w_url,... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7850 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7850/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7850/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7850/events | https://github.com/langchain-ai/langchain/pull/7850 | 1,808,373,827 | PR_kwDOIPDwls5VtBPM | 7,850 | feat: optional post-processing for Unstructured loaders | {
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"followers_url": "https:... | null | 2 | 2023-07-17T18:45:37 | 2023-07-17T19:14:07 | 2023-07-17T19:13:05 | CONTRIBUTOR | null | ### Summary
Adds a post-processing method for Unstructured loaders that allows users to optionally modify or clean extracted elements.
### Testing
```python
from langchain.document_loaders import UnstructuredFileLoader
from unstructured.cleaners.core import clean_extra_whitespace
loader = UnstructuredFile... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7849 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7849/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7849/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7849/events | https://github.com/langchain-ai/langchain/pull/7849 | 1,808,339,477 | PR_kwDOIPDwls5Vs5uM | 7,849 | Add post-processing to Web Base url loader | {
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... | closed | false | null | [] | null | 2 | 2023-07-17T18:25:12 | 2023-07-27T15:00:10 | 2023-07-27T15:00:09 | COLLABORATOR | null | Text loaded from urls can have low quality formatting (e.g., repeated newlines) that we want to post-process.
We add regex substitution and newline compression to WebBaseLoader. | {
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@baskaryan
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https://api.github.com/repos/langchain-ai/langchain/issues/7847 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7847/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7847/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7847/events | https://github.com/langchain-ai/langchain/pull/7847 | 1,808,278,848 | PR_kwDOIPDwls5VssPu | 7,847 | add ls link | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7846 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7846/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7846/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7846/events | https://github.com/langchain-ai/langchain/pull/7846 | 1,808,178,675 | PR_kwDOIPDwls5VsWBg | 7,846 | fix: SQLDatabaseChain not return sql query even if return_direct=True | {
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... | closed | false | null | [] | null | 2 | 2023-07-17T16:55:07 | 2023-08-04T03:11:37 | 2023-08-04T03:11:37 | NONE | null | **Description:** SQLDatabaseChain not return sql query even if return_direct=True
**Issue:**
for SQLDatabaseChain, although its parameter set to return_direct=True, it still returns results (e.g., USB wire 98, Laptop 90, Desktop 86, ....) instead of sql query (e.g., SELECT name AS "Product Category" FROM category O... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7845 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7845/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7845/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7845/events | https://github.com/langchain-ai/langchain/issues/7845 | 1,808,165,032 | I_kwDOIPDwls5rxmio | 7,845 | DOC: What is the difference between the various QA chains? | {
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... | closed | false | null | [] | null | 2 | 2023-07-17T16:45:46 | 2023-11-03T16:06:52 | 2023-11-03T16:06:51 | NONE | null | ### Issue with current documentation:
I think there is lacking documentation on the multitude of chains regarding QA and retrieval.
There is:
- [retrieval_qa](https://github.com/hwchase17/langchain/tree/master/langchain/chains/retrieval_qa)
- [question_answering](https://github.com/hwchase17/langchain/tree/mast... | {
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https://api.github.com/repos/langchain-ai/langchain/issues/7844 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7844/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7844/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7844/events | https://github.com/langchain-ai/langchain/pull/7844 | 1,808,164,437 | PR_kwDOIPDwls5VsS9D | 7,844 | docstrings `prompts` | {
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@baskaryan
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https://api.github.com/repos/langchain-ai/langchain/issues/7841 | https://api.github.com/repos/langchain-ai/langchain | https://api.github.com/repos/langchain-ai/langchain/issues/7841/labels{/name} | https://api.github.com/repos/langchain-ai/langchain/issues/7841/comments | https://api.github.com/repos/langchain-ai/langchain/issues/7841/events | https://github.com/langchain-ai/langchain/issues/7841 | 1,808,066,576 | I_kwDOIPDwls5rxOgQ | 7,841 | InvalidVectorQuery error when using AzureSearch with vector db | {
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"id": 56... | closed | false | null | [] | null | 7 | 2023-07-17T15:46:42 | 2023-11-15T16:07:13 | 2023-11-15T16:07:12 | NONE | null | ### System Info
langchain==0.0.234, windows 10, azure-identity==1.13.0, Python 3.11.4
### Who can help?
I manage to create an index in Azure Cognitive Search with _id_, _content_, _vector_content_ and _metadata_ fields.
I check that docs and chunks are not nulls.
I'm getting and error when querying the vecto... | {
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