NithishCodec/mini-rag-system
A lightweight Retrieval-Augmented Generation (RAG) system that lets users upload text, converts it into embeddings, and answers questions using only the provided data. Built with FastAPI and Gemini embeddings, it performs similarity search to return accurate, context-grounded responses through a simple web interface.
Stars
—
Forks
—
Language
Python
License
—
Category
Last pushed
Jan 26, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/NithishCodec/mini-rag-system"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
FareedKhan-dev/scalable-rag-pipeline
A scalable RAG platform combining LangGraph agents, hybrid retrieval (Vector+Graph), and Ray...
tedhappy/ragflow-admin
基于ragflow二次开发的后台管理系统，可以独立运行，支持批量管理知识库、聊天、智能体、用户等，解决ragflow在后台管理上的痛点。
Benaah/amaniquery
A Retrieval-Augmented Generation (RAG) system for Kenyan legal, parliamentary, and news...
haiha-ux/raganything-agno-wrapper
Production-ready wrapper bringing RAG-Anything's advanced multimodal capabilities to Agno...
OrlandContreras/rag-agent-crew
🎓 Sistema Multi-Agente RAG 100% Local Educativo - CrewAI + Ollama + Qdrant para aprendizaje y...