JulioPeixoto/softrag
Minimal local-first multimodal RAG library powered by SQLite + sqlite-vec.
This project helps developers build applications that can understand and answer questions using information from a variety of sources, including PDFs, web pages, images, and text documents. It takes your raw data in different formats and allows you to query across all of it, generating answers based on both text and visual content. It's ideal for developers who need to create custom search or question-answering tools for their users.
No commits in the last 6 months. Available on PyPI.
Use this if you are a developer needing to build an application that can process and semantically search across various document types and images, all stored and handled locally.
Not ideal if you are an end-user looking for a ready-to-use application, as this is a library designed for developers to integrate into their own projects.
Stars
18
Forks
4
Language
Python
License
MIT
Category
Last pushed
Jul 26, 2025
Commits (30d)
0
Dependencies
7
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