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Comprehensive Retrieval-Augmented Generation Platform

OpenRAG is a platform for intelligent document search and AI conversations, integrating multiple technologies for seamless user experience.

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Summary

OpenRAG is a comprehensive Retrieval-Augmented Generation platform designed for intelligent document search and AI-powered conversations. It allows users to upload, process, and query documents through a chat interface that is supported by large language models and advanced semantic search capabilities.

Key features:

  • Pre-packaged & ready to run - All core tools are integrated and ready for immediate use.
  • Agentic RAG workflows - Features advanced orchestration with re-ranking and multi-agent coordination.
  • Document ingestion - Capable of handling messy, real-world data with intelligent parsing.
  • Drag-and-drop workflow builder - A visual interface powered by Langflow for rapid iteration.
  • Modular enterprise add-ons - Functionality can be extended as needed.
  • Enterprise search at any scale - Built on OpenSearch for production-grade performance.

OpenRAG follows a streamlined workflow to transform documents into intelligent, searchable knowledge. It is built with FastAPI and Next.js, and offers SDKs for both Python and TypeScript/JavaScript to facilitate integration into applications.

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