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A small, fast, and easy package for semantic searching using artificial intelligence.

Project description

Note: This project is still a work-in-progress. It works, but it doesn't have many features yet. Please suggest features, report problems (bugs should go in Issues), or just say hi in Discussions!

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:mag: DeepSearchKit

A small, fast, and easy package that allows easy semantic searching using :brain: artificial intelligence. It is based on and similar to the closed-source DeepSearch system.

:computer: Installation

You can install the latest stable version from the registry:

pip3 install deepsearchkit

You can install the very latest version directly from the Git repository, however certain features may not work:

pip3 install git+https://github.com/fakerybakery/deepsearchkit

:white_check_mark: Features

  • CPU, CUDA, and MPS support (enhanced GPU acceleration)!
  • Simple usage

:newspaper: Usage

Documentation is available here.

:thought_balloon: Todo

  • Integrate DeepSearch into DeepSearchKit
    • Open-source DeepSearch
  • Add Web Interface (from DeepSearch)
  • Add document search demo
    • Add document chat demo
  • Add upsert feature (txtai#251)
  • Add more data support, e.g. parquet, MySQL/hosted DBs
  • Custom prompt/data format for multiple columns in JSON
  • Custom progress callback for indexing
  • Make some example projects
    • Chat with a folder using open-sourced conversational models
    • Search an entire directory
  • Allow easy publishing with a .dskpkg file - compressed DeepSearchKit package that includes the index, the data, and some attributes (name, author, license, etc)
    • Maybe in the future: "DSK Hub" - hub for DSK packages

:memo: Credits

We would like to thank the authors of the following open source projects:

:briefcase: Disclaimer/Agreement (Read BEFORE you contribute!)

In every new issue/PR, make sure to include "I agree to the disclaimer!"

By using/contributing to this software, you agree to the agreement.

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