Download
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
Categories
DatabaseLicense
MIT LicenseFollow RAG API
Other Useful Business Software
MongoDB Atlas runs apps anywhere
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of RAG API!