This repository includes examples for various vector databases and libraries for use on Databricks. Please note that it is a work in progress and not official Databricks assets.
This repository provides examples and implementations of different vector databases and libraries that can be utilized within the Databricks environment. The goal is to offer a variety of tools and techniques for handling vector data efficiently.
One of the key implementations included in this repository is the Facebook AI Similarity Search (FAISS). FAISS is a library for efficient similarity search and clustering of dense vectors.
The repository includes an associated configuration file that sets variables including Unity Catalog assets and LLM endpoint names.
Contributions are welcome! If you have examples or improvements, please submit a pull request. Note that this is a community-driven project and not officially supported by Databricks.
This project is licensed under the MIT License. See the LICENSE file for details.