Cognitia AI Logo

Cognitia AI

Memory LayerDevelopersFor BusinessesDocsFAQ

Context retrieval

How Cognitia reads your memory graph to ground answers — the engine behind chat and MCP, not a separate product surface.

How retrieval works

  • Analyze request intent from the current conversation or MCP tool call.
  • Search entities, temporal facts, behavioral signals, and semantic memory in the graph.
  • Rank and format high-signal context — not raw chat history dumps.
  • Return grounded responses with continuity across sessions and clients.

Example

You ask for a travel plan update. Cognitia retrieves destination preferences, budget constraints from Plaid, prior booking emails, and calendar conflicts from the graph — without you re-entering context each time.

A SURFACEContext retrieval powers the built-in assistant and authorized MCP clients. Users interact with memory through Explorer, chat, or external AI — retrieval is what connects them to the graph.

Related pages

Memory layerMCP & APIFor developers
Start building memoryPrivacy & controls
Cognitia AICognitia AI

The cross-ecosystem memory layer you own.

Product

Memory LayerContext AssemblyMCP IntegrationsData PlatformFor BusinessesFor DevelopersCompare

  • Consumer-Owned

  • Encrypted at Rest

  • Data Portable

  • Consent-First

© 2026 Cognitia AI. All rights reserved.

Your data belongs to you.