Query your documents with AI, privately
Turn your internal documents into an AI-queryable knowledge base with LightRAG and its knowledge graph, installed and maintained by DINAO. Your content stays on our French servers.
What is LightRAG?
LightRAG is a lightweight RAG (Retrieval Augmented Generation) framework that combines a knowledge graph and vector embeddings to better understand and query a corpus of documents. Where classic RAG simply retrieves close passages, LightRAG builds a graph linking entities and concepts, enabling more comprehensive answers to cross-document questions.
It offers five query modes (local, global, hybrid, naive, and mixed), incremental updates to the database without reconstruction, and role-based configuration (extraction, query, keywords, vision model/VLM). For models, it connects to a local open-weight LLM (via Ollama) or any OpenAI-compatible API, with optional embedding and reranking choices. Multimodal document processing relies on MinerU and Docling.
LightRAG supports numerous storage backends (PostgreSQL, MongoDB, Neo4j, Memgraph, Milvus, Qdrant…) and exposes a REST API as well as a web interface. Self-hosted with DINAO and connected to a local model, it becomes a truly sovereign document assistant: your content never leaves France.
Host LightRAG at DINAO
Resource tiers compatible with LightRAG prerequisites (minimum 2 vCPU / 2 Go / 10 Go). Hosted in France, fully managed.
- 2 dedicated vCPU
- 4 Go RAM
- 40 GB NVMe
- Daily backups
- Managed & monitored by DINAO
- 4 dedicated vCPU
- 8 Go RAM
- 80 GB NVMe
- Daily backups
- Managed & monitored by DINAO
- 8 dedicated vCPU
- 16 Go RAM
- 160 GB NVMe
- Daily backups
- Managed & monitored by DINAO
1 hidden tier(s) (insufficient resources for this app) : Découverte
This application uses AI
The container hosts the application, not the AI engine (which requires dedicated GPUs) : inference is handled externally, with your own provider key. Prioritize a sovereign engine — Mistral AI, NumSpot, Scaleway, or OVHcloud AI Endpoints (France, GDPR) ; an international provider (OpenAI, Anthropic…) only if a specific capability requires it. Inference subscriptions are not included in hosting.
Technical details
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Other applications managed by DINAO in the same category, hosted in France and GDPR compliant.
You might be wondering…
What is graph-based RAG?
RAG (Retrieval Augmented Generation) provides LLMs with excerpts from your documents so they can answer based on evidence. LightRAG adds a knowledge graph linking entities and concepts, yielding more comprehensive answers to cross-cutting questions.
Can I use my own model?
Yes. You connect a local open-weight LLM served by Ollama, or an OpenAI-compatible API. You also choose the embedding model and, optionally, a reranker.
Do my documents remain confidential?
In local mode, yes: documents, graph, and queries stay on your instance in France; nothing is transmitted to a third party. See the sovereignty note below for the external API case.
How do I add new documents?
LightRAG supports incremental updates: you add documents continuously without rebuilding the entire database, and multimodal content (PDFs, images) is handled via MinerU/Docling.
Where is the data hosted?
On DINAO infrastructure in France, in one of the available data centers. Your data does not leave the territory in local mode.
