langchain-kinetica
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
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