
Open-source RAG platform
Free

OpenRAG is an open-source RAG (Retrieval-Augmented Generation) distribution developed by IBM. It empowers developers to build intelligent search applications by transforming documents into knowledge systems. OpenRAG integrates with OpenSearch, Langflow, and Docling for document ingestion, semantic search, and workflow orchestration. It offers a developer-first approach, designed for speed, clarity, and trust, making it suitable for both individual projects and enterprise-level deployments. Key features include pre-packaged solutions, agentic RAG workflows, and a drag-and-drop interface for building complex retrieval systems. OpenRAG aims to democratize RAG, providing accessible tools for developers to leverage the power of AI.
Offers pre-configured solutions for quick setup and deployment.
Enables complex workflows with re-ranking and orchestration.
Handles various document formats and messy data with Docling.
Uses Langflow for visual workflow creation.
Provides modular add-ons for enterprise needs.
Offers scalable search capabilities with OpenSearch.
Ingest documents using Docling.,Vectorize and store documents in OpenSearch.,Build RAG workflows with Langflow's drag-and-drop interface.,Add re-ranking, filtering, and custom logic.,Deploy and scale your application with IBM's enterprise capabilities.
Create chatbots that can access and understand information from your documents.
Improve search accuracy and relevance by incorporating semantic understanding.
Organize and retrieve information from large document collections.
Developers looking to build RAG applications.
Businesses seeking enterprise-ready RAG solutions.
OpenRAG is an open-source project, so it is free to use.