mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +00:00
493afe4d8d
Implemented the ability to enable full-text search within the SingleStore vector store, offering users a versatile range of search strategies. This enhancement allows users to seamlessly combine full-text search with vector search, enabling the following search strategies: * Search solely by vector similarity. * Conduct searches exclusively based on text similarity, utilizing Lucene internally. * Filter search results by text similarity score, with the option to specify a threshold, followed by a search based on vector similarity. * Filter results by vector similarity score before conducting a search based on text similarity. * Perform searches using a weighted sum of vector and text similarity scores. Additionally, integration tests have been added to comprehensively cover all scenarios. Updated notebook with examples. CC: @baskaryan, @hwchase17 --------- Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com> Co-authored-by: Bagatur <baskaryan@gmail.com> |
||
|---|---|---|
| .. | ||
| langchain_community | ||
| scripts | ||
| tests | ||
| 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.