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RAGFreeOpen Source
RAGAPP
Self-hosted RAG platform with web UI and customizable models
MIT
ABOUT
Implementing RAG for internal document Q&A requires orchestrating document parsing, chunking, embedding generation, vector storage, and LLM integration with a frontend — a significant engineering effort that many teams repeat from scratch. RAGapp provides a turnkey, self-hosted RAG platform with a web UI where users upload documents, configure chunking strategies, select embedding and LLM models, and start asking questions over their data immediately.
INTEGRATION GUIDE
1. Deploy an internal knowledge base Q&A system where employees can ask questions about company documents
2. Create a self-hosted research assistant that answers questions from uploaded PDFs and research papers
3. Build a customer support knowledge base that retrieves answers from product documentation
4. Set up a document review system where users upload contracts and query key clauses
5. Run a fully private RAG system behind a corporate firewall with no data leaving the network
TAGS
pythonragdocument-qaknowledge-managementembeddingsself-hostedretrieval