mrkeshi/KeshroAI
A multi-agent, retrieval-augmented system for asking questions about uploaded documents and getting grounded, cited answers.
Stars
2
Forks
—
Language
Python
License
—
Category
Last pushed
Feb 25, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/mrkeshi/KeshroAI"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Future-House/paper-qa
High accuracy RAG for answering questions from scientific documents with citations
weiwill88/Local_Pdf_Chat_RAG
🧠 纯原生 Python 实现的 RAG 框架 | FAISS + BM25 混合检索 | 支持 Ollama / SiliconFlow | 适合新手入门学习
shubham0204/OnDevice-RAG-Android
A custom RAG pipeline for multi-document QA from PDF/DOCX documents, in Android
dev-it-with-me/RagUltimateAdvisor
A complete Retrieval-Augmented Generation (RAG) application that demonstrates modern AI...
EarthlyAlien/Document-Assistant
RAG based Document Assistant for Search