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Nowledge MemNowledge Mem

Advanced Features

Unlock the full potential of Nowledge Mem with augmentation and graph exploration

Nowledge Mem supports versatile augmentation of memories, enabling you to better search, connect, and explore your knowledge within the Nowledge Graph.

Memory Augmentation

Augmentation enhances your memories beyond basic indexing, creating richer connections and insights.

1. Knowledge Graph Extraction

Extract knowledge graphs from memories to understand connections and key topics.

How to Enable:

During Memory Creation

When creating a memory from agent conversations, select the option to distill with knowledge graph extraction:

Distill with Knowledge Graph

For Existing Memories

Click the Knowledge Graph button on any memory card:

Knowledge Graph

The Process:

  1. LLM analyzes the memory content
  2. Extracts entities, concepts, and relationships
  3. Creates connections to existing memories
  4. Updates the global knowledge graph

Knowledge Graph Progress

Benefits:

  • Discover hidden connections between memories
  • Identify key topics and themes in your knowledge
  • Enable more intelligent search and recommendations
  • Build a comprehensive understanding of your domain expertise

2. Graph Algorithm-Based Augmentation

Advanced augmentation using graph algorithms and optional LLM processing to gain global insights.

What it Does:

  • Community Detection: Finds clusters of related knowledge entities
  • Topic Summarization: Uses LLM to summarize community themes
  • Enhanced Retrieval: Improves search with graph-based insights
  • Knowledge Mapping: Provides a bird's-eye view of your expertise

How to Use:

  1. Navigate to the Graph View in Nowledge Mem
  2. Click "Compute" on different Graph Algorithms

Graph Algorithm Compute

Results:

  • See bubble clusters over related nodes in the graph
  • View community topic summaries (if "Summarize Communities" is enabled)
  • Get improved search results that leverage community insights
  • Understand the structure of your knowledge domain

3. Graph Neural Network Augmentation

Coming Soon...

Advanced graph analysis using Graph Neural Networks.

  • Node Classification: Automatically categorize memories and entities
  • Link Prediction: Suggest potential connections between concepts
  • Graph Embedding: Create dense representations for similarity analysis
  • Anomaly Detection: Identify unusual patterns or knowledge gaps

Nowledge Graph Exploration

To better understand your knowledge graph, or cherry-pick, explore accurately your knowledge in more intuitive way, we could leverage the graph view of Nowledge Mem.

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Next Steps

Details on all integration options and how to use them.