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# How to create AI agents with Neo4j Aura Agent

**[InfoWorld](https://daily.dev/sources/infoworld)** · 8 min read · 1 upvotes · 0 comments

## Summary

Neo4j Aura Agent is a low-code, end-to-end platform for building and deploying AI agents backed by knowledge graphs. It supports three GraphRAG retrieval techniques: graph-augmented vector search, Text2Cypher, and parameterized Cypher query templates. Agents can be created by providing a system prompt and a Neo4j database, with the platform auto-generating initial configuration from the graph schema. Once tested in a UI playground, agents deploy to a secure API endpoint with managed LLM inference. Deployed agents can also be wrapped in an MCP server for integration with downstream AI systems like Claude Desktop. The platform aims to make GraphRAG capabilities accessible without requiring deep graph expertise.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.infoworld.com/article/4139414/how-to-create-ai-agents-with-neo4j-aura-agent.html>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#rag](https://daily.dev/tags/rag), [#neo4j](https://daily.dev/tags/neo4j)

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