labring/FastGPT

Self-hosting your own RAG pipeline usually means stitching together a dozen moving parts. This platform bundles the entire stack into one deployable package: document ingestion, chunking, vector retrieval, prompt chaining, and a visual workflow editor where you can map out multi-step AI logic without writing orchestration code from scratch. The workflow canvas is the real draw. You can branch logic, call external APIs, and layer in multiple knowledge bases within a single flow, which saves considerable engineering time compared to building equivalent behavior in LangChain or similar frameworks. It supports multiple LLM backends, so you are not locked to one provider. The honest reservation is that the category is legitimately crowded. Dify, Flowise, and others occupy similar ground, and feature parity between them shifts fast. Documentation quality and community activity will matter a lot for long-term maintainability, and those require your own due diligence before committing. -> Best for: technical founders or small engineering teams who want a self-hosted, full-stack RAG and workflow platform without paying ongoing managed-service fees.