Neotask makes graph database operations conversational through Neo4j - exploring schemas, reading relationships, and writing Cypher queries to unlock connected data insights.
Connected data becomes queryable in plain language - your agent translates business questions about relationships and networks into Cypher queries without requiring graph database expertise
Knowledge graphs support agent intelligence - your agent reads from Neo4j to understand entity relationships and writes new connections as your business data evolves
Graph analytics inform better decisions - supply chain dependencies, fraud networks, and organizational relationships all become visible through your agent's Neo4j queries
What You Can Do
The Neo4j integration gives Neotask 4 graph database actions.
get-schema - retrieve the full graph schema including node labels, relationship types, and property keys
read-cypher - execute read-only Cypher queries to traverse and retrieve graph data
write-cypher - execute write Cypher queries to create, update, and delete nodes and relationships
list-gds-procedures - enumerate available Graph Data Science library procedures when the GDS plugin is installed
Every action runs autonomously or requires your approval - you decide.
Try Asking
"Show me the schema of our knowledge graph - what node types and relationships exist?"
"Find all customers who are connected to more than 3 enterprise accounts in our graph"
"Create a relationship between product node P-123 and supplier node S-456 in the supply chain graph"
"What are the shortest paths between our top sales rep and the CTO of our target account?"
Pro Tips
Always start with get-schema when working with an unfamiliar graph database - your agent maps the structure before writing queries
Use approval gates on write-cypher operations that modify production graph data - relationship changes in knowledge graphs can have downstream effects
Pair Neo4j with your CRM integration to enrich your graph: new sales relationships get written to Neo4j automatically as they develop
Graph Data Science procedures unlock advanced analytics: pagerank for influence scoring, community detection for account segmentation, and shortest path for org chart analysis
Multiple workspaces and capacity for larger teams.
Works Well With
Linear - Connect Linear and Neo4j with Neotask. Run Cypher queries from issue context, map dependencies as graph relationships, a...
Zoom - Connect Neo4j and Zoom with Neotask to automate graph data workflows, enrich meeting insights, and surface relationship ...
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