Platform

Memory for
your AI

Not just RAG. A knowledge system on top of all your data — documents, databases, APIs, and more. Persistent context that grows smarter over time.

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Approach

Beyond traditional RAG

Most RAG systems chunk your documents and hope for the best. Memory takes a fundamentally different approach to understanding and retrieving your knowledge.

Chunking avoidance

Traditional RAG splits documents into chunks, destroying structure and context. Memory uses techniques that preserve document relationships and minimize information loss during retrieval.

Multi-source ingestion

Not just documents. Connect databases, APIs, email, CRM data, and more. Memory creates a unified knowledge layer across all your data sources.

Knowledge graphs

Vector search finds similar content. Knowledge graphs find related concepts. Combined, they produce retrieval accuracy that neither can achieve alone.

Persistent context

Memory persists across conversations, projects, and teams. It learns from every interaction, building organizational knowledge that compounds over time.

Applications

Two ways to use Memory

For your applications

Give your apps memory

Integrate Memory into your products via API. Your users' interactions build a knowledge base that makes your AI smarter and more contextual over time.

  • + Customer support with full conversation history
  • + Product recommendations from usage patterns
  • + Internal knowledge bases that actually work
Inside Nexus products

Powering the Nexus ecosystem

Memory is the shared context layer across all Nexus products. Chat remembers your preferences. Quorum learns from past queries. Research builds on previous findings.

  • + Organizational context across all products
  • + Team-shared knowledge that grows over time
  • + Project-scoped memory for focused work

Give your business a memory

Available as a consulting engagement now. Standalone product coming soon.