M4A

Neo4j

The leading graph database for connected data

freemiumproductiongraphcypherknowledge-graphrelationshipsopen-source
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Memory Types

semantic, graph, relational

Integrations

langchain, llamaindex, python, java, javascript


Overview


Neo4j is the world's leading graph database, designed for storing and querying highly connected data. Founded in 2007, Neo4j has become the de facto standard for graph databases with thousands of enterprise customers. The platform uses the Cypher query language and is optimized for traversing relationships, making it ideal for knowledge graphs, recommendation engines, and fraud detection.


For AI applications, Neo4j excels at storing knowledge graphs that capture complex relationships between entities. This makes it powerful for RAG applications, agent memory systems, and applications requiring sophisticated reasoning over connected information.


Key Features


  • **Cypher Query Language**: Intuitive graph query language
  • **ACID Transactions**: Full transaction support
  • **Scalable**: Handles billions of nodes and relationships
  • **Graph Algorithms**: Built-in algorithms for analytics
  • **Visualization**: Graph visualization tools
  • **Multi-Database**: Multiple databases per instance
  • **Cloud & On-Premise**: Flexible deployment options
  • **LLM Integration**: Vector search + graph capabilities

    • When to Use Neo4j


    Neo4j is ideal for:

  • Knowledge graph applications
  • RAG with relationship-aware retrieval
  • Recommendation engines
  • Fraud detection and network analysis
  • Identity and access management
  • Agent memory systems with complex relationships
  • Social networks and organizational charts

    • Pros


  • Market leader in graph databases
  • Mature and production-proven
  • Excellent Cypher query language
  • Strong visualization tools
  • Large community and ecosystem
  • Good documentation and training
  • Both cloud and self-hosted options
  • Enterprise-ready features

    • Cons


  • Can be expensive at scale
  • Steep learning curve for graph concepts
  • More complex than simple vector databases
  • Resource-intensive for large graphs
  • Cypher different from SQL
  • Community edition has limitations
  • May be overkill for simple use cases
  • Requires graph thinking mindset

    • Pricing


  • **Community Edition**: Free, limited features
  • **AuraDB Free**: Free cloud tier with limits
  • **AuraDB Pro**: Starting at $65/month
  • **Enterprise**: Custom pricing for self-hosted

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