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No. 7 of 26 ·Retrieval-Augmented Generation Tools

OpenRAG

Web · Self-hosted · API

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Freedom report

Two barsScore 6.4

  • Free tierA free tier is on its own pricing page
  • Open codeNo open-source code on record
  • Runs widely1 of 6 device platforms
  • DocumentedPlans, terms and facts published

OpenRAG is a free, AGPL-3.0 framework for building systems that answer questions using documents as their grounding. Its search combines semantic retrieval with BM25 keyword matching and multilingual reranking. Answers cite a document and page, with links that open at the cited location. It handles listed text, office, email, audio, video and image formats, with PDF layout awareness, OCR, image captioning and audio transcription. The product includes an admin console, chat interface and OpenAI-compatible API, and can connect to user-provided models or a hosted provider. Access controls include isolated partitions, owner, editor and viewer roles, and token or OpenID Connect authentication. OpenRAG can run on infrastructure controlled by the deployer, keeping documents, embeddings and queries within that perimeter. Deployment requires Docker, Docker Compose and at least 16 GB RAM; a CPU-only profile is optional. CSV, ODT and HTML support, format-specific chunkers, tool calling, agentic RAG, MCP, and encryption in transit and at rest are listed as coming soon. The maker says the self-hosted edition has no features held back.

Who it is for

It suits teams building document-grounded assistants, legal search or multimodal enterprise question answering, including organizations that want to control deployment infrastructure. Be prepared to meet the listed Docker and memory prerequisites.

What is good

  • Free self-hosted edition under AGPL-3.0.
  • Answers link to cited document pages.
  • Supports hybrid search and reranking.
  • Can keep data within deployer-controlled infrastructure.

What to know first

  • Requires Docker and Docker Compose.
  • Minimum listed memory is 16 GB.
  • CSV, ODT and HTML support are coming soon.
  • Encryption in transit and at rest is coming soon.

Verdict

OpenRAG combines document retrieval, source-linked answers and self-managed deployment in a free framework. Its listed deployment prerequisites and features marked as coming soon are important considerations before adoption.

OpenRAG plans and pricing

All plans
OpenRAG (AGPL-3.0 self-hosted) Free AGPL-3.0 · deploy on your own infrastructure · no feature held back open-rag.ai · 3 Oct 2026
Managed OpenRAG service Not published Price schedules established during scoping, according to deployment mode and volume. Usage-based or fixed-fee billing depending on deployment mode · short, renewable commitment periods linagora.ai · 3 Oct 2026

Compared on retrieval-augmented generation tools

Free plan
Yes
Source citations
Yes
Hybrid search
Yes
Result reranking
Yes
Deployment
both

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