wannaphong/tinyrag

Simple RAG system

33
/ 100
Emerging

This project helps developers quickly set up and experiment with a simple Retrieval-Augmented Generation (RAG) system locally. You provide text data, and it allows you to query that data using a language model to get relevant answers. It's designed for developers interested in understanding or customizing RAG systems without complex dependencies.

No commits in the last 6 months.

Use this if you are a developer or researcher who wants a lightweight, local RAG system for prototyping, experimenting with prompts, or studying RAG mechanics using only `llama-cpp-python` and `sqlite-vec`.

Not ideal if you need a production-ready RAG system with advanced features, scalability, or integrations with large-scale data platforms.

RAG-system-development LLM-experimentation local-AI-prototyping natural-language-processing AI-research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 13 / 25

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Stars

8

Forks

2

Language

Python

License

Apache-2.0

Last pushed

Feb 06, 2025

Commits (30d)

0

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