RAG-API – Docs to team chats with GPT via managed RAG workflows

Summary: RAG-API enables full-stack developers to upload documents and query them using OpenAI LLMs through a managed Retrieval-Augmented Generation system hosted on GCP Cloud Run. It supports multi-user projects, document management, and asynchronous chat completions with built-in rate limiting and quota tracking.

What it does

It provides project-based RAG workflows with multi-user collaboration and access controls, integrating ChromaDB and MongoDB for vector storage and data management. The API handles OpenAI keys and offers async completions for chat applications.

Who it's for

Full-stack developers and DevOps professionals building RAG-powered chat apps and AI integrations.

Why it matters

It removes vector store complexity and streamlines building intelligent chat apps with managed infrastructure and a free tier.