RAG Document Systems Prompt Engineering Tools
Tools for building Retrieval-Augmented Generation systems that enable AI to query, search, and answer questions about uploaded documents, PDFs, and knowledge bases. Does NOT include general LLM applications, multi-agent orchestration frameworks, or prompt template libraries without document retrieval components.
There are 5 rag document systems tools tracked. The highest-rated is TNTD-dev/arxiv-curator at 17/100 with 0 stars.
Get all 5 projects as JSON
curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=prompt-engineering&subcategory=rag-document-systems&limit=20"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
| # | Tool | Score | Tier |
|---|---|---|---|
| 1 |
TNTD-dev/arxiv-curator
Experience the future of academic research with our AI-powered curator that... |
|
Experimental |
| 2 |
chinni-d/simple_rag
End-to-end Retrieval-Augmented Generation (RAG) system in Python using... |
|
Experimental |
| 3 |
urmanovaa/ai-brief-refiner
Telegram bot that turns vague client requests into structured technical... |
|
Experimental |
| 4 |
AnnaVerbytska/GenAI-for-ECB-Insights
It combines text embeddings to search through the documents of the European... |
|
Experimental |
| 5 |
pramod-zillella/Agentic-Rag-Chatbot
The Agentic RAG Fitness Chatbot is an AI-powered application designed to... |
|
Experimental |