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Implement GraphStore with Neo4j

Objective: Build complete graph store implementation for entity relationships.

Description: Implement entity creation, relationship mapping, and graph traversal queries using Neo4j.

Dependencies: None

Details:

  • Implement entity creation and relationship mapping.
  • Develop graph traversal queries for entity relationships.
  • Ensure robust error handling and efficient queries.

Status: Done

Test Strategy:

pytest tests/unit/test_graph_store.py

Verify all tests pass and graph operations work as expected.

GraphStore Architecture​

flowchart TD
  subgraph GraphStore
    EC[Entity Creation]
    RM[Relationship Mapping]
    GT[Graph Traversal]
    NJ[Neo4j]
  end
  EC --> NJ
  RM --> NJ
  GT --> NJ

Explanatory Notes​

  • Purpose: The GraphStore models complex relationships between entities, enabling advanced reasoning and retrieval.
  • Relationship Mapping: Captures real-world connections for richer context.
  • Graph Traversal: Supports flexible queries for entity discovery and linkage.
  • Best Practices:
    • Use indexes for frequent query fields.
    • Optimize Cypher queries for performance.
    • Regularly back up the Neo4j database.
  • Troubleshooting:
    • Check Neo4j logs for errors.
    • Validate data model and relationship integrity.