Sourced answers (RAG)
Hybrid search, contextual enrichment and verified citations: every answer points to the excerpts that support it.
Language models
OpenAI, Mistral, Anthropic, Gemini or a model you host yourself: a choice per assistant, encrypted keys and a benchmark to decide based on facts.
Supported providers
Same questions, multiple models
For each answer: text, tokens used and latency; Excel export.
The problem
The model landscape changes every month. Tying your assistants to a single provider exposes you to cost increases, behavior changes or confidentiality constraints.
You need to be able to switch models per assistant, compare them objectively and protect access keys.
Capabilities
Each capability is shown with its actual availability.
Benefits
Switch models without rebuilding your assistants or your knowledge bases.
Compare quality, latency and usage on your own questions.
Encrypted at rest, never exposed to end users.
Hybrid search, contextual enrichment and verified citations: every answer points to the excerpts that support it.
One assistant per need: role, tone, knowledge, tools and publishing rules, configured from a single interface and versioned.
Roles, SSO including FranceConnect+, white-label organizations, GDPR retention, audit log, content validation and migration between environments.
Cloud, in-house model servers: what each option means in practice.