Neo4j serves as our graph database foundation, enabling RAG capabilities, metadata storage, and knowledge graph operations with high-performance EC2 hosting.

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Why Neo4j?

GraphRAG Foundation

Powers Graph Retrieval-Augmented Generation with native vector search and graph traversal

Fast Relational Queries

Cypher query language enables fast, intuitive graph pattern matching and traversal

Lineage Tracking

Native graph structure perfect for comprehensive lineage tracking and dependency graphs

Vector + Graph Search

Combines vector similarity search with graph relationships for superior semantic capabilities

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GraphRAG with Neo4j

GraphRAG (Graph Retrieval-Augmented Generation) enhances traditional RAG by leveraging knowledge graphs to provide richer context and more accurate responses through relationship-aware retrieval.

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Why Neo4j Excels at GraphRAG

Native Vector Search

Built-in vector indexing and similarity search without external dependencies

Graph Pattern Matching

Cypher’s powerful pattern matching finds complex relationships efficiently

Hybrid Queries

Single query combining vector similarity with graph traversal for rich context

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GraphRAG Capabilities

  • Contextual Retrieval: Find semantically similar content while considering graph relationships
  • Multi-hop Reasoning: Traverse multiple relationship levels to gather comprehensive context
  • Entity Resolution: Link mentions across documents through graph connections
  • Dynamic Context: Adapt retrieval strategy based on relationship patterns and data lineage
Learn more about implementing GraphRAG with Neo4j in their comprehensive GraphRAG Guide and Vector Search Documentation.

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Performance & Architecture

Our Neo4j deployment on EC2 provides enterprise-grade performance with automatic scaling and backup capabilities.

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Technical Details

  • Instance Type: Optimized EC2 instances for graph workloads
  • Storage: High-performance SSD storage with automated backups
  • Clustering: Multi-instance setup for high availability
  • Security: VPC isolation with encrypted connections
  • Monitoring: Real-time performance metrics and alerting

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Useful Neo4j Resources

Neo4j Documentation

Comprehensive documentation for Neo4j database and Cypher query language

GraphRAG with Neo4j

Implementation guide for GraphRAG using Neo4j knowledge graphs
All platform resources—sources, files, connections, jobs, warehouse nodes, and vector embeddings—are represented as connected graph nodes, enabling GraphRAG capabilities and intelligent context-aware insights across the entire data ecosystem.