Where knowledge
meets action.
Build agents that don't just retrieve — they reason. A visual environment for RAG systems and ReAct-based agents that think before they act, grounded in your enterprise knowledge base.
Search finds documents. Reasoning finds answers.
Bolting a vector database onto a chatbot gets you quotes, not judgment. AI Workspace builds agents that retrieve the right context, reason step-by-step, act on tools when needed, and cite every claim — answers your team can actually rely on.
Retrieve. Reason. Act. Cite.
A visual environment for grounded agents that think before they respond.
Ground it in your knowledge.
Connect your documents and data. The workspace retrieves the most relevant context for every question.
Think before answering.
Agents reason step-by-step over the retrieved context instead of pattern-matching to the nearest snippet.
Reason, act, observe.
When an answer needs a tool or a lookup, the agent acts, observes the result, and continues — until it’s sure.
Every claim, sourced.
Answers come with citations back to the source documents, so nothing is a black box.
Compose without code.
Design retrieval, reasoning and action visually — and see exactly how each answer was formed.
Your data, grounded.
Grounded in your enterprise knowledge base, with access controls so agents only see what they should.
Grounded, governed, traceable.
Encrypted data, access controls on every retrieval, guardrails on every model call, and a full trace of retrieval-reasoning-action behind each answer — so you can trust what the agent says and prove why it said it.