GitHpriyanshu23/Ragkno

RAGKNO — A production-grade RAG system with semantic reranking, hybrid retrieval, multi-source ingestion (Google Drive, PDF, URL), persistent multi-session memory, and source-cited answers. Built with FastAPI, FAISS, and Google Generative AI.

22
/ 100
Experimental
No Package No Dependents
Maintenance 13 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

—

Forks

—

Language

Python

License

Apache-2.0

Last pushed

Apr 10, 2026

Commits (30d)

0

GitHub

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/GitHpriyanshu23/Ragkno"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

SamurAIGPT/llm-wiki-agent

A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or...

65

EverMind-AI/EverOS

A memory OS that makes your OpenClaw agents more personal while saving tokens.

63

alvinreal/awesome-opensource-ai

Curated list of the best truly open-source AI projects, models, tools, and infrastructure.

63

kongusen/loom-agent

Python agent framework with AgentHarness: planner → generator ⇄ evaluator loops for long-running...

54

shakfu/cyllama

A thin cython wrapper around llama.cpp, whisper.cpp and stable-diffusion.cpp

54

Explore RAG Tools

All categories Trending RAG directory Insights