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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> |
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| chains | ||
| chat_loaders | ||
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| chat_models | ||
| cross_encoders | ||
| docstore | ||
| document_compressors | ||
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| document_transformers | ||
| embeddings | ||
| example_selectors | ||
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| storage | ||
| tools | ||
| utilities | ||
| utils | ||
| vectorstores | ||
| __init__.py | ||
| cache.py | ||
| py.typed | ||