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Advanced Knowledge Management

Overview​

This guide covers advanced techniques for managing and optimizing knowledge sources in Gentic.

Advanced Knowledge Sources​

Vector Databases​

const knowledgeSource = await client.knowledgeSources.create({
  name: "Vector Database",
  type: "vector",
  config: {
    provider: "pinecone",
    index: "products",
    dimension: 1536
  }
});

Graph Databases​

const knowledgeSource = await client.knowledgeSources.create({
  name: "Knowledge Graph",
  type: "graph",
  config: {
    provider: "neo4j",
    database: "knowledge",
    schema: {
      nodes: ["Concept", "Entity"],
      relationships: ["RELATES_TO", "IS_A"]
    }
  }
});

Advanced Features​

const results = await client.knowledgeSources.search({
  sourceId: "kb-123",
  query: "product specifications",
  options: {
    semantic: true,
    threshold: 0.8
  }
});

Knowledge Graph Traversal​

const traversal = await client.knowledgeSources.traverse({
  sourceId: "kg-123",
  startNode: "product-1",
  relationship: "RELATED_TO",
  depth: 3
});

Incremental Updates​

await client.knowledgeSources.update({
  sourceId: "kb-123",
  operation: "incremental",
  data: {
    documents: [
      {
        id: "doc-1",
        content: "Updated product information"
      }
    ]
  }
});

Optimization Techniques​

  1. Indexing Strategies

    • Vector indexing for semantic search
    • Graph indexing for relationships
    • Hybrid indexing approaches

  2. Caching

    • Query result caching
    • Frequently accessed content
    • Cache invalidation strategies

  3. Performance Tuning

    • Batch processing
    • Parallel indexing
    • Resource allocation

Best Practices​

  1. Data Organization

    • Structured vs unstructured data
    • Metadata management
    • Version control

  2. Quality Control

    • Data validation
    • Consistency checks
    • Regular audits

  3. Security

    • Access control
    • Data encryption
    • Audit logging

Next Steps​