TL;DR — Neo4j is a production graph database widely used for relationship-heavy retrieval and graph-RAG.
What it is
It stores data as nodes and relationships and queries with Cypher, making multi-hop retrieval straightforward.
Why it exists
When your domain is deeply connected, graph retrieval beats flat keyword search for explainability and path reasoning.
Install
docker run --name neo4j -p 7474:7474 -p 7687:7687 neo4jBasic usage
# load nodes and edges
# run Cypher query for multi-hop context
# pass results to LLMWhen to use, when to skip
Use it when this category is a bottleneck in your agent stack and you want faster delivery with fewer custom components.
Skip it when your workload is tiny, requirements are fixed, or a plain provider SDK plus a few local functions is enough.
Alternatives
Compare with adjacent tools in the same AI Native category and choose based on interface style, deployment model (hosted vs self-hosted), and team familiarity.
Verified against project documentation, June 2026.