OpenRAG vs Quivr
OpenRAG
open-rag.aiQuivr
quivr.comSide by side
| Figure | OpenRAG | Quivr |
|---|---|---|
| Price from | Free | €150/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 2 | 7 |
| Spec score · Retrieval-Augmented Generation Tools | 8.4 (#8) | 7.7 (#17) |
| Integrations | The product documents compatibility with OpenAI API clients and names Open WebUI, LangChain, n8n and Twake.ai as integrations. | The integrations page lists e-commerce, CRM, shipping, payment, communication, knowledge, database, cloud, and ERP services, and supports REST APIs, GraphQL, webhooks, and MCP. |
| Product | OpenRAG is a modular framework for building document-grounded retrieval-augmented generation systems. | Quivr describes itself as an always-on customer support team powered by six specialized AI agents. |
| Security | The site describes fail-closed scopes, verified outbound connections, redacted secrets, non-root containers, rate limiting and security headers. | The integrations page labels Quivr SOC2 Compliant and GDPR Ready. |
| Support | The product site directs technical questions to GitHub issues and links to documentation and a contact form. | The base subscription lists premium support and configuration assistance. |
Plans
OpenRAG
- OpenRAG (AGPL-3.0 self-hosted)Free
- Managed OpenRAG servicePriced on request
Quivr
- Dan — Knowledge ManagerFree
- Lily — Insight AnalyzerFree
- Steven — Ticket Router€0.03, paid once
- Kelly — Draft Composer€0.50, paid once
- Michael — Action Executor€1, paid once
- Base Subscription€150 a month
- Joana — Engagement AgentPriced on request
In their own words
OpenRAG
OpenRAG is a modular framework for building systems that answer questions using documents as their grounding. Its retrieval combines semantic search with BM25 keyword matching and multilingual reranking; answers cite a source document and page, with links to the cited location. Document processing covers 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. Partition isolation, owner, editor, and viewer roles, plus token or OpenID Connect authentication, are among its access controls. It can run on infrastructure controlled by the deployer, keeping documents, embeddings, and queries within that environment. The self-hosted AGPL-3.0 edition is listed at free. Deployment prerequisites are Docker, Docker Compose, and at least 16 GB of RAM; a CPU-only profile is optional. CSV, ODT, and HTML support, tool calling, agentic RAG, MCP, and encryption in transit and at rest are listed as coming soon.
Quivr
Quivr describes itself as an always-on customer support team powered by six specialized AI agents. Kelly drafts and translates replies and retrieves knowledge for support staff; Michael processes refunds and executes workflows; Steven routes and tags tickets. Lily analyzes support data through process mining, topic clustering, and sentiment analysis, while Dan synchronizes knowledge and updates help documentation. Joana is listed as an engagement agent for chatbots and conversion optimization, with custom pricing. Quivr connects with Intercom, Zendesk, Freshdesk, and Gorgias. Its integrations span e-commerce, CRM, shipping, payments, communication, knowledge, databases, cloud services, and ERP. It also supports REST APIs, GraphQL, webhooks, and MCP. Agents can retrieve live system data, update contacts or orders, escalate to a human, and send notifications. The base subscription costs €150 a month and includes all agents, custom integrations, premium support, configuration assistance, admin panel access, and an app on the ticketing tool. Usage fees also apply when agents draft responses, resolve tickets, or tag conversations. Quivr labels itself SOC2 Compliant and GDPR Ready.