langflow-ai

    langflow-ai/openrag

    OpenRAG is a comprehensive, single package Retrieval-Augmented Generation platform built on Langflow, Docling, and Opensearch.

    backend
    Python
    Apache-2.0
    4.7K stars
    515 forks
    4.7K GitHub watchers
    Updated Oct 27, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    3 releases in the last 90 days, the latest 26 days ago, with 52 contributors on GitHub.

    Peaked at #47 in the weekly ranking the week of Mar 22, its best in the past year.

    Use Cases & Benefits

    • Provides a comprehensive platform for Retrieval-Augmented Generation enabling intelligent document search and AI-powered conversational querying.
    • Integrates Langflow, Docling, and OpenSearch into a single ready-to-run package with advanced agentic workflows and scalable enterprise search.
    • Use for building AI chatbots that answer questions by searching and reasoning over uploaded documents in real time.
    • Use for enterprises needing scalable, production-grade semantic search solutions with modular add-ons and multi-agent orchestration.
    • Use for developers wanting to rapidly prototype and deploy RAG workflows via a drag-and-drop visual interface and official SDKs.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Intelligent Agent-powered document search

    OpenRAG is a comprehensive Retrieval-Augmented Generation platform that enables intelligent document search and AI-powered conversations.

    Users can upload, process, and query documents through a chat interface backed by large language models and semantic search capabilities. The system utilizes Langflow for document ingestion, retrieval workflows, and intelligent nudges, providing a seamless RAG experience.

    Check out the documentation or get started with the quickstart.

    Built with Starlette and Next.js. Powered by OpenSearch, Langflow, and Docling.

    Excerpt from the langflow-ai/openrag README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    515+61

    Open issues

    339+48

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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    langflow-ai/openrag4.7K—5926 days ago
    Category median56.0K+2.3K29—

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