Neo4j

Health v2 · maintenance only

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Adoption not part of the score

17253 stars · 2701 forks observed · 2026-09-23

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Neo4j is the leading open-source native graph database, storing and querying connected data as nodes and relationships using the Cypher query language. It includes a Graph Data Science library of graph algorithms and ML models, vector indexes for AI/GraphRAG workloads, and client drivers for many languages.

Use cases

• store and query highly connected data like social networks or fraud rings
• build a knowledge graph for GraphRAG and AI agents
• run graph algorithms like centrality, community detection, and pathfinding
• power real-time recommendation engines
• model and query supply chain or network topology data
• add vector search and agent memory to LLM applications

When to choose

• your data is highly relational and requires multi-hop traversals or pattern matching
• you need graph algorithms, graph ML, or GraphRAG capabilities at scale
• you want a mature, well-documented graph database with drivers, tooling, and cloud or self-hosted deployment options

When to avoid

• your workload is simple tabular data better served by a relational or document database
• you need a permissive license for embedding the enterprise edition in a commercial product (GPL-3.0 / commercial licensing)
• you only need lightweight graph analytics on data stored elsewhere without a dedicated database

Facets

service · maturity stable

database vector-database search-engine data-science machine-learning rag sdk databases graph-processing data-science artificial-intelligence developer-tools jvm cross-platform cloud self-hosted python graph-database cypher nosql graphrag knowledge-graph graph-algorithms gpl-3.0 retrieval-augmented-generation docker kubernetes

Member repositories

For agents

markdown · JSON · MCP: product_card(name="neo4j/neo4j")