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langchain-kinetica

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This project contains the Kinetica integration provider for Langchain. Kinetica is a real-time database purpose built for enabling analytics and generative AI on time-series & spatial data.

Features

This package provides integration for core capabilities:

  • Chat model - Kinetica native Text-to-SQL Generation.
  • Vector Store - Vector similarity search using Kinetica tables.
  • Document Loader - Generate embeddings from Kinetica tables.
  • Retriever - Document retriever based on the Vector Store.

Quick Install

pip install langchain-kinetica

Documentation

For conceptual guides, tutorials, and examples on using these classes, see the Kinetica Provider Docs.

The documentation is also available in notebook format under ./notebooks.

Testing

In addition the make test macro these tests can be run individually.

$ make integration_tests TEST_FILE=tests/integration_tests/test_chat_models.py

$ make integration_tests TEST_FILE=tests/integration_tests/test_vectorstores.py::test_kinetica

See Also

Metadata

Release files for langchain-kinetica 1.3.0

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