ashankgupta/local-rag-chatbot
A local, command-line Q&A system that uses Retrieval-Augmented Generation (RAG) to answer questions based on any provided text document. Runs entirely locally with no API keys required - uses Ollama (Mistral) for the LLM and HuggingFace embeddings with ChromaDB for vector storage.
Stars
—
Forks
—
Language
Python
License
MIT
Category
Last pushed
Feb 19, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/ashankgupta/local-rag-chatbot"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
JGalego/RAGmap
A simple Streamlit application to visualize document chunks and queries in embedding space πΊοΈπ
noi-techpark/stuart-chatbot
Stuart is simple RAG System, that the Open Data Hub uses as a chatbot to help the Open Data Hub...
lycoai/ducky-cookbook
Examples and guides for using the Ducky.ai API
ManiAm/RAG-Search
RAG-Search is a web-based chat interface that combines LLMs with document-aware retrieval for...
arsath-eng/RAG1-NVIDIA-GENAI
A powerful Retrieval Augmented Generation (RAG) application built with NVIDIA AI endpoints and...