mirror of
https://github.com/hwchase17/langchain.git
synced 2025-04-28 20:05:58 +00:00
PR title: “langchain: add batch request support for text-embedding-v3 model” PR message: • Description: This PR introduces batch request support for the text-embedding-v3 model within LangChain. The new functionality allows users to process multiple text inputs in a single request, improving efficiency and performance for high-volume applications. • Issue: This PR addresses #<issue_number> (if applicable). • Dependencies: No new external dependencies are required for this change. • Twitter handle: If announced on Twitter, please mention me at @yourhandle. Add tests and docs: 1. Added unit tests to cover the batch request functionality, ensuring it operates without requiring network access. 2. Included an example notebook demonstrating the batch request feature, located in docs/docs/integrations. Lint and test: All required formatting and linting checks have been performed using make format and make lint. The changes have been verified with make test to ensure compatibility. Additional notes: • The changes are fully backwards compatible. • No modifications were made to pyproject.toml, ensuring no new dependencies were added. • The update only affects the langchain package and does not involve other packages. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com> |
||
---|---|---|
.. | ||
langchain_community | ||
scripts | ||
tests | ||
extended_testing_deps.txt | ||
Makefile | ||
poetry.lock | ||
pyproject.toml | ||
README.md |
🦜️🧑🤝🧑 LangChain Community
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.
📕 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.