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Memory & Knowledge. Powered by Intelligence.

Hybrid retrieval, workspace memory, intelligent data contracts and knowledge management for AI agent intelligence and organizational learning.

Core Memory & Knowledge Capabilities

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Hybrid Retrieval

Advanced search combining vector similarity, keyword matching, and semantic understanding for precise knowledge discovery.

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Workspace Memory

Persistent memory that learns from interactions, remembers context, and builds organizational knowledge over time.

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Data Contracts

Intelligent data contracts that ensure data quality, consistency, and governance across all agent interactions.

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Knowledge Graphs

Build and maintain knowledge graphs that capture relationships between entities, concepts, and organizational data.

You + AI: Intelligent Knowledge

Build intelligent memory systems that understand context and continuously learn from interactions

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Contextual Understanding

Agents understand context, remember past interactions, and provide increasingly relevant and personalized responses.

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Knowledge Connections

Automatically discover and maintain connections between different pieces of information across your organization.

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Learning & Adaptation

Agents continuously learn from interactions, improving their understanding and providing better insights over time.

Memory & Knowledge in Action

1

Knowledge Ingestion

Automatically ingest and process information from documents, conversations, and data sources across your organization.

2

Intelligent Indexing

Create searchable indexes using hybrid retrieval methods combining semantic understanding with traditional search.

3

Contextual Retrieval

Agents retrieve relevant information based on context, user intent, and historical interactions for accurate responses.

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Continuous Learning

Update knowledge bases, refine understanding, and improve retrieval accuracy based on user feedback and interactions.

Ask the Platform

🧠 Memory Questions

  • How does workspace memory work?
  • Can agents remember past conversations?
  • How is knowledge updated over time?
  • What types of information can be stored?

🔍 Retrieval

  • How does hybrid retrieval work?
  • Can I search across different data sources?
  • How accurate is semantic search?
  • What search filters are available?

📋 Data Management

  • How do data contracts work?
  • Can I control data quality?
  • How is knowledge organized?
  • What governance features exist?

Memory & Knowledge Outcomes

Where organizational knowledge meets intelligent retrieval with context-aware AI memory.

From

  • Scattered knowledge bases
  • Static search results
  • Lost context across sessions
  • Manual knowledge curation

To

  • Unified knowledge graph
  • Hybrid semantic retrieval
  • Persistent agent memory
  • Intelligent data contracts

Related Platform Capabilities

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