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Kyle Winkelman 201bdf7148 community: Cap AzureOpenAIEmbeddings chunk_size at 2048 instead of 16. (#25852) 
**Description:** Within AzureOpenAIEmbeddings there is a validation to
cap `chunk_size` at 16. The value of 16 is either an old limitation or
was erroneously chosen. I have checked all of the `preview` and `stable`
releases to ensure that the `embeddings` endpoint can handle 2048
entries
[Azure/azure-rest-api-specs](https://github.com/Azure/azure-rest-api-specs/tree/main/specification/cognitiveservices/data-plane/AzureOpenAI/inference).
I have also found many locations that confirm this limit should be 2048:
-
https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#embeddings
-
https://learn.microsoft.com/en-us/azure/ai-services/openai/quotas-limits

**Issue:** fixes #25462
2024-08-29 16:48:04 +00:00
..
langchain_community
community: Cap AzureOpenAIEmbeddings chunk_size at 2048 instead of 16. (#25852)
2024-08-29 16:48:04 +00:00
scripts
…
tests
added octoai test (#21793)
2024-08-29 15:07:27 +00:00
extended_testing_deps.txt
community[patch]: Support passing extra params for executing functions in UCFunctionToolkit (#25652)
2024-08-28 18:47:32 -07:00
Makefile
all: Improve make lint command (#25344)
2024-08-23 18:23:52 -07:00
poetry.lock
community: release 0.2.14 (#25822)
2024-08-28 19:05:53 +00:00
pyproject.toml
community: release 0.2.14 (#25822)
2024-08-28 19:05:53 +00:00
README.md
…

README.md

🦜️🧑‍🤝‍🧑 LangChain Community

Downloads License: MIT

Quick Install

pip install langchain-community

What is it?

LangChain Community contains third-party integrations that implement the base interfaces defined in LangChain Core, making them ready-to-use in any LangChain application.

For full documentation see the API reference.

Diagram outlining the hierarchical organization of the LangChain framework, displaying the interconnected parts across multiple layers.

📕 Releases & Versioning

langchain-community is currently on version 0.0.x

All changes will be accompanied by a patch version increase.

💁 Contributing

As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

For detailed information on how to contribute, see the Contributing Guide.