FalkorDB

In this catalog it is the Knowledge Graphs option when you need to query typed entities and relationships. Keep FalkorDB on the observe/propose side of the loop: useful signals and drafts, with human or policy authority still required before anything irreversible runs.

Entities and edges are written via Cypher/GQL/SQL; queries traverse relationships to support retrieval or reasoning beyond vector similarity.

1. Enable the graph extension/store and confirm query language access.
2. Insert a small fixture of nodes and relationships.
3. Run a traversal/query agents will use for context.
4. Connect the agent/RAG host read path to this store.

Related: neo4j · zep · topics/04-data

• Use when: FalkorDB is a graph database optimized for sparse adjacency and AI/knowledge-graph workloads, with OpenCypher support matches the bottleneck and you specifically need to query typed entities and relationships.
• Skip when: another pack already covers the need with less ops surface, or FalkorDB would become a second place people retype truth.
• Prefer instead: compare Neo4j, Zep before locking the cell.

• Ops: confirm license, hosting, and release cadence for FalkorDB (FalkorDB/FalkorDB) before relying on it in a live corridor.
• Integration: bad credentials, scopes, or schema drift produce empty retrievals or runaway tool/model spend without an obvious UI alarm.
• Scope: Knowledge Graphs components support agents; they are not the company ledger or the approval authority.