Production-grade RAG, without six months of assembly
Built by an AI engineer who assembled too many stacks for BNP Paribas, Sanofi, Brevo and Suez. IgnitionRAG is the backend we wish we had.
From POC to prod without reassembling five frameworks
Agencies sell custom RAG projects at €50,000 – €200,000. Open-source frameworks like LangChain deliver bricks but not a manageable product. Nothing in between.
IgnitionRAG is that missing link: a platform bundling multimodal ingestion, a configurable RAG pipeline, LangGraph agents and deployable widgets, into a product a developer plugs in in 5 minutes and a business team runs day to day.
AI configuration is managed by the platform, France-based hosting supports GDPR compliance, and bounded credits keep consumption predictable.
Three non-negotiable principles
We made structural choices to stay aligned with our users.
Dev-first
Full REST API with OpenAPI, official SDKs, native MCP server. Anything a developer tests in 5 minutes is reachable via code. No mandatory UI between you and the platform.
Platform-managed AI
We configure providers, models and embeddings for you. Your team chooses missions and tracks a bounded credit allowance, with no keys to manage.
GDPR and France
Infrastructure hosted in France, GDPR compliance built in, SecNumCloud option for Enterprise. Your data never trains third-party models, and export is always available.
What question does your team ask every week?
Start there. Identify the mission, gather useful documents and test answers with the people who will work with your agent.