Read & query data
Pull live records, search entities, and keep downstream systems up to date.
- Query (MATCH)
- Merge (Find or Create)
Integration
Integrate Neo4j graph database into the workflow. Can query, create, merge, update, and delete nodes and relationships.
Easily manage, analyze, and visualize connected data with Neo4j – the industry-leading native graph database built for handling complex relationships at scale.
What can you do with the Neo4j integration? Easily manage, analyze, and visualize connected data with Neo4j – the industry-leading native graph database built for handling complex relationships at scale. Neo4j allows you to efficiently store, query, and explore data models that go beyond tables, making it ideal for real-time recommendations, fraud detection, knowledge graphs, and more. With Neo4j integrations, you can: AptlyStar exposes 7 operations so teams can automate end-to-end processes without maintaining brittle scripts.
Compose Neo4j with the rest of your stack using visual workflows and agents.
Pull live records, search entities, and keep downstream systems up to date.
Insert, upsert, and patch objects so Neo4j workflows stay synchronized automatically.
Archive, delete, merge, and reconcile records with guardrails and approvals.
React to webhooks and polling triggers the moment something happens.
Aggregate metrics, export datasets, and feed BI or agent summaries.
React to webhooks and polling triggers the moment something happens.
Ship AI workflows that read, decide, and act on Neo4j — with guardrails and human approvals where you need them.
Build a workflow that queries Neo4j for a chosen entity graph, writes the nodes and edges to a structured JSON adjacency file, and shares the file link for a downstream tool to visualize.
Explore templatesCreate a scheduled workflow that queries Neo4j for suspicious connection patterns — shared devices, overlapping addresses — writes risk-scored clusters to a fraud table, and pings Slack.
Explore templatesBuild a workflow that pulls Workday or Rippling worker data, upserts employees and reporting relationships into Neo4j, and exposes a queryable org graph for downstream tools.
Explore templatesCreate a workflow that processes documents from a knowledge base, extracts entities and relationships with an agent, and writes the graph into Neo4j for cross-document insights.
Explore templatesCreate a workflow that ingests dbt manifest metadata into Neo4j, tracks lineage across tables and pipelines, and queries impact when a source schema changes.
Explore templatesBuild a chat agent that introspects the Neo4j schema, translates plain-English questions like “which customers share a support agent with churned accounts?” into Cypher queries, runs them, and returns a readable answer w...
Explore templatesConnect Neo4j once, then reuse the same blocks across agents, workflows, and templates.
Teams lose hours copying data between Neo4j and CRMs, inboxes, and spreadsheets. AptlyStar connects Neo4j to 7+ operations so updates flow automatically.
Learn moreOne-off scripts break when APIs change. Use visual workflows, retries, and typed blocks so Neo4j automations stay maintainable as you grow.
Learn moreAgents need live Neo4j context without over-permissioned keys. Connect credentials once, apply guardrails, and let agents act through audited workflow runs.
Learn moreReady-to-use workflow templates that include Neo4j, just like in the app.
Neo4j relationship exporter
Build a workflow that queries Neo4j for a chosen entity graph, writes the nodes and edges to a structured JSON adjacency file, and shares the file link for a downstream tool to vis...
Neo4j fraud-ring detector
Create a scheduled workflow that queries Neo4j for suspicious connection patterns — shared devices, overlapping addresses — writes risk-scored clusters to a fraud table, and pings ...
Neo4j org-chart sync
Build a workflow that pulls Workday or Rippling worker data, upserts employees and reporting relationships into Neo4j, and exposes a queryable org graph for downstream tools.
Neo4j knowledge-graph builder
Create a workflow that processes documents from a knowledge base, extracts entities and relationships with an agent, and writes the graph into Neo4j for cross-document insights.
Neo4j recommendation engine
Build a workflow that runs Neo4j graph algorithms — collaborative filtering, PageRank — on product-purchase data and writes per-user recommendations to a personalization table.
Neo4j data lineage tracker
Create a workflow that ingests dbt manifest metadata into Neo4j, tracks lineage across tables and pipelines, and queries impact when a source schema changes.
Design multi-step automations with blocks, branches, loops, and human-in-the-loop checkpoints — no boilerplate code.
Learn moreGive agents tools, memory, and guardrails so they can plan, call integrations, and finish tasks across your stack.
Learn moreGround agents in docs and tables, then trace every run with logs, evaluations, and deployment controls.
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Connect Neo4j to agents and workflows in minutes — no credit card required.