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Vector DBFreemiumOpen Source
JANUSGRAPH
Distributed graph database for large-scale graph analytics and AI
NOASSERTION
ABOUT
Building AI applications that need to traverse graph relationships at scale often hits a wall with single-node graph databases that cannot handle billions of edges. JanusGraph solves this with a distributed graph database designed for extreme scale — billions of vertices and edges across multi-datacenter clusters — with pluggable storage backends (Cassandra, HBase, Bigtable) and indexing systems (Elasticsearch, Solr) for hybrid graph-vector search.
INSTALL
docker run -p 8182:8182 janusgraph/janusgraph:latestINTEGRATION GUIDE
1. Build a large-scale knowledge graph for GraphRAG over billions of entity relationships
2. Implement a fraud detection system analyzing connection patterns across a global transaction graph
3. Create a distributed graph architecture that stores and queries AI agent interaction histories at scale
4. Power a supply chain analytics platform with graph traversal across millions of interconnected suppliers
5. Develop an entity resolution system linking records across large datasets using graph traversal
TAGS
graph-databasedistributedbig-dataknowledge-graphgremlingraph-ragdocker