LynaX
AI Agent

Data Engine and RAG

One data layer for every AI workflow

Data Engine is the shared source of business context for AI Agent, published websites, and AI Seller. Bring structured records, submissions, files, and connected app data together, then make approved knowledge searchable through RAG.

Explore AI Agent

From source to grounded answer

Keep operational data usable by AI, not trapped in separate tools

Data enters through product workflows, stays organized by source and permission, and becomes available to the AI experiences allowed to use it.

  1. 01

    Collect the right sources

    Bring in website collections, Seller submissions, workspace files, and records from connected applications.

  2. 02

    Structure and index

    Keep records tied to their source, process searchable knowledge, and preserve workspace access boundaries.

  3. 03

    Retrieve in context

    AI Agent and AI Seller search the approved data layer when a request needs business-specific evidence.

A shared business context

Data that moves with the work

Use one governed data foundation across generated experiences, conversations, research, and connected operations.

Website Builder data

Create collections for products, articles, and other structured content that a published website can read at runtime.

AI Seller submissions

Keep captured customer details and form submissions available for follow-up in the same business workspace.

RAG knowledge sources

Index approved files and workspace knowledge so AI can retrieve relevant context instead of relying only on general model knowledge.

Connected application data

Use records exposed by assigned apps and APIs as part of research or authorized workflows without collapsing access controls.

More AI Agent capabilities

Keep the work in one connected workspace

AI AgentBuild websites, documents, analyses, and automated work from one conversation.Website Builder & ArtifactsBuild, preview, refine, and publish a working website.Apps & MCPConnect approved applications, MCP servers, and your own APIs.

Give every AI experience the right business context

Start with the sources you already use, keep their ownership visible, and make approved data searchable from one workspace.