RAGapp

Stale
GitHub TypeScript Apache-2.0

Description

The easiest way to use Agentic RAG in any enterprise. Provides out-of-the-box retrieval-augmented generation capabilities with Docker-based deployment for simplified enterprise RAG application building and management.

Key Features

  • Docker one-command deployment with Admin UI for visual RAG configuration
  • Agentic RAG pipeline built on LlamaIndex with OpenAI, Gemini, and Ollama support
  • Pre-built Chat UI and REST API endpoints ready for integration
  • Docker Compose deployment templates for single and multi-instance setups
  • Configurable data ingestion from multiple document sources
  • Kubernetes-ready architecture for production cloud deployments

Use Cases

πŸ’‘ Enterprise knowledge base Q&A with document retrieval
πŸ’‘ Internal team assistant powered by proprietary documents
πŸ’‘ Customer support bot with context-aware responses
πŸ’‘ Rapid RAG prototype deployment for product teams

Tags

rag agent python llm framework

Categories

πŸ“š RAG Tools

Quick Start

Run `docker run -p 8000:8000 ragapp/ragapp` to start. Access the Admin UI at http://localhost:8000/admin to configure your data sources and RAG settings. Use the Chat UI at http://localhost:8000 or the API docs at http://localhost:8000/docs. Supports OpenAI, Gemini, and local Ollama models.
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