OpenRAG

Overview

OpenRAG is ranked #7 of 26 in retrieval-augmented generation tools on Specifiction. It runs on API, Self-hosted, Web. There is a free plan.

Compared on retrieval-augmented generation tools

Free plan

Yesopen-rag.ai

Source citations

Yesopen-rag.ai

Hybrid search

Yesopen-rag.ai

Result reranking

Yesopen-rag.ai

Deployment

bothopen-rag.ai

Facts

Purpose

OpenRAG is a modular framework for building document-grounded retrieval-augmented generation systems.open-rag.ai · 2 Oct 2026

License

OpenRAG is licensed under AGPL-3.0.open-rag.ai · 2 Oct 2026

Answers

Answers cite the source document and page, with links that open the source at that page.open-rag.ai · 2 Oct 2026

Search and scale

It supports hybrid search, reranking, and distributed processing with Ray worker nodes.open-rag.ai · 2 Oct 2026

Document handling

It supports multimodal parsing including PDF layout awareness, OCR, image captioning, and audio transcription.open-rag.ai · 2 Oct 2026

Interfaces

The product includes an admin console, a chat interface, and an OpenAI-compatible API.open-rag.ai · 2 Oct 2026

Integrations

The site names Open WebUI, LangChain, n8n, and Twake.ai as integrations.open-rag.ai · 2 Oct 2026

Access controls

It supports partition isolation, owner/editor/viewer roles, and token or single sign-on authentication through OpenID Connect providers.open-rag.ai · 2 Oct 2026

Deployment and data

OpenRAG runs on infrastructure controlled by the deployer, keeping documents, embeddings, and queries within that perimeter.open-rag.ai · 2 Oct 2026

Deployment requirements

The maker lists Docker and Docker Compose as prerequisites, with 16 GB RAM minimum and an optional CPU-only profile.open-rag.ai · 2 Oct 2026

Notable limits

The maker lists CSV, ODT, and HTML support, tool calling, agentic RAG, MCP, and encryption in transit and at rest as coming soon.open-rag.ai · 2 Oct 2026

Support

The maker directs users to GitHub Issues for technical questions, feature suggestions, and bug reports.open-rag.ai · 2 Oct 2026

Commercial offering

The maker says there is no paid edition and no feature held back; it also links to a LINAGORA-managed service.open-rag.ai · 2 Oct 2026

Product

OpenRAG is a modular framework for building document-grounded retrieval-augmented generation systems.open-rag.ai · 3 Oct 2026

Search

Retrieval combines semantic search with BM25 keyword matching and multilingual reranking.open-rag.ai · 3 Oct 2026

Document processing

It supports multimodal parsing with audio transcription, image captioning, OCR and PDF layout awareness.open-rag.ai · 3 Oct 2026

Model choice

The site says users can connect their own models, including Mistral, Qwen, Lucie, Claude and GPT, or use a hosted provider.open-rag.ai · 3 Oct 2026

Scaling

Ray distributes ingestion, chunking and embedding across worker nodes for horizontal scaling.open-rag.ai · 3 Oct 2026

Access control

Partitions isolate knowledge bases; partition roles include owner, editor and viewer, and API tokens are stored as SHA-256 hashes.open-rag.ai · 3 Oct 2026

Security

The site describes fail-closed scopes, verified outbound connections, redacted secrets, non-root containers, rate limiting and security headers.open-rag.ai · 3 Oct 2026

Supported formats

The listed formats are txt, md, pdf, docx, doc, pptx, eml, wav, mp3, mp4, ogg, flv, wma, aac, png, jpeg, jpg and svg.open-rag.ai · 3 Oct 2026

Notable limit

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.open-rag.ai · 3 Oct 2026

Audience

The site describes use for AI assistants, legal search and multimodal enterprise question answering, and says public administrations and private companies use it.open-rag.ai · 3 Oct 2026

Company

Founded

2000open-rag.ai · 28 Sept 2026

Where it ranks on Specifiction

• Best Retrieval-Augmented Generation Tools in 2026#7 of 26

Sources

• open-rag.ai· checked 2 Oct 2026
• linagora.ai/en/services-manages· checked 3 Oct 2026