OpenRAG

Input—per 1M tokens

Output—per 1M tokens

Context—tokens

WeightsClosed

About

OpenRAG is ranked #2 of 26 in retrieval-augmented generation tools on Inferse. 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
Answers: Answers cite the source document and page, with a link that opens the cited page.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
Integrations: The product documents compatibility with OpenAI API clients and names Open WebUI, LangChain, n8n and Twake.ai as integrations.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
Support: The product site directs technical questions to GitHub issues and links to documentation and a contact form.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