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rag_api is an open-source REST API for building Retrieval-Augmented Generation (RAG) systems using LLMs like GPT. It lets users index documents, search semantically, and retrieve relevant content for use in generative AI workflows. Designed for rapid prototyping, it is ideal for chatbot development, document assistants, and knowledge-based LLM apps.
Features
- RESTful API for document indexing and retrieval
- Supports semantic search using vector embeddings
- Integrates with LLMs for RAG-style responses
- Configurable chunking and metadata tagging
- Built-in endpoints for query, upload, and context retrieval
- Ready to deploy with minimal setup
Project Samples
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DatabaseLicense
MIT LicenseFollow RAG API
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