{"data":{"full_name":"ashankgupta/rag-flow","name":"rag-flow","description":"A visual, node-based RAG (Retrieval-Augmented Generation) pipeline builder built with FastAPI, React + ReactFlow, and ChromaDB. Drag-and-drop nodes to create document processing workflows: load PDFs → split text → generate embeddings → store in vector DB → retrieve context → generate AI responses via Ollama.","stars":0.0,"forks":0.0,"language":"Python","license":null,"archived":0.0,"subcategory":"document-chunking-embedding-pipelines","last_pushed_at":"2026-03-13T02:04:10+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":13.0,"adoption_score":0.0,"maturity_score":1.0,"community_score":0.0,"quality_score":14.0,"quality_tier":"experimental","risk_flags":"['no_license', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-07T00:16:12.685569+00:00"}}