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Ashley Xu 0ce7858529 feat: add Google BigQueryVectorSearch in vectorstore (#14829) 
BigQuery vector search lets you use GoogleSQL to do semantic search,
using vector indexes for fast but approximate results, or using brute
force for exact results.

This PR integrates LangChain vectorstore with BigQuery Vector Search.

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---------

Co-authored-by: Vlad Kolesnikov <vladkol@google.com>
2024-01-02 15:57:14 -08:00
..
langchain_community
feat: add Google BigQueryVectorSearch in vectorstore (#14829)
2024-01-02 15:57:14 -08:00
scripts
infra: import checking bugfix (#14569)
2023-12-11 15:53:51 -08:00
tests
feat: add Google BigQueryVectorSearch in vectorstore (#14829)
2024-01-02 15:57:14 -08:00
Makefile
create mypy cache dir if it doesn't exist (#14579)
2023-12-12 15:34:50 -08:00
poetry.lock
community: Integration of New Chat Model Based on ChatGLM3 via ZhipuAI API (#15105)
2024-01-01 15:17:03 -08:00
pyproject.toml
community: Integration of New Chat Model Based on ChatGLM3 via ZhipuAI API (#15105)
2024-01-01 15:17:03 -08:00
README.md
docs: developer docs (#14776)
2023-12-17 12:55:49 -08:00

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.

LangChain Stack

📕 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.