RAG API

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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License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Database Software, Python Semantic Search Tool

Registered

2025-06-18

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