langflow-ai/openrag

Health v2 · maintenance only

Adoption not part of the score

4466 stars · 465 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

OpenRAG is an open-source, pre-packaged Retrieval-Augmented Generation platform from IBM that combines Langflow, Docling, and OpenSearch into a single installable package. It provides document ingestion, hybrid semantic search, and an agentic chat interface for querying documents, deployable via Docker with a FastAPI backend and Next.js frontend.

Use cases

• build a chatbot that answers questions over my documents
• search PDFs and office documents with semantic search
• set up a self-hosted RAG pipeline quickly
• ingest messy real-world documents into a searchable knowledge base
• customize RAG workflows with a visual drag-and-drop builder
• run enterprise document search with hybrid retrieval and re-ranking
• connect cloud storage like Google Drive or SharePoint to an AI search

When to choose

• you want a batteries-included RAG stack without wiring components yourself
• you need document parsing of complex formats like PDFs via Docling
• you want OpenSearch-backed hybrid search at enterprise scale
• you want to customize retrieval flows visually with Langflow
• you prefer self-hosting with Docker and open-source licensing

When to avoid

• you need a lightweight embeddable library rather than a full deployed application
• you want a fully managed cloud RAG service with no infrastructure
• your stack requires Elasticsearch or a vector database other than OpenSearch
• you cannot run Docker/Podman or WSL on Windows
• you need a minimal custom pipeline and prefer assembling components yourself

Facets

application · maturity active

rag search-engine chatbot agent-framework nlp pdf web-framework chat-interface large-language-models artificial-intelligence self-hosted developer-tools self-hosted python cross-platform windows agentic-rag opensearch langflow docling document-ingestion semantic-search enterprise-search fastapi nextjs vector-search retrieval-augmented-generation search ai-agents docker web-server linux macos

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markdown · JSON · MCP: product_card(name="langflow-ai/openrag")