Oleksy1121/TechDocs
RAG system with backend API for natural language search through technical documentation. Built with FastAPI, LangChain, and OpenAI. Try it live at marcin-oleszczyk.pl/techdocs
Stars
—
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Nov 29, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/Oleksy1121/TechDocs"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
vincentkoc/airgapped-offfline-rag
Secure, locally-run Retrieval-Augmented Generation system for document-based question-answering,...
praj2408/RAG-Enhanced-NCERT-Tutor
RAG-Enhanced-NCERT-Tutor is an AI-powered tutor for NCERT curriculum, using Retrieval-Augmented...
justine-george/ai-markdown-llm-retrieval
AI-powered document query system using LangChain, ChromaDB, and OpenAI for efficient RAG-based...
Vikas-ai56/Contextual_RAG
An Advanced RAG system using Python and Langgraph for intelligent, stateful question-answering...
kbhujbal/KnowledgeAssist-Retrieval-Augmented-Generation-RAG-Document-QA-System
A full-stack RAG application that enables intelligent document Q&A. Upload PDFs, DOCX, or TXT...