What is Neo4j Aura Agent?

It is a managed platform for building AI agents that use Neo4j knowledge graphs to provide accurate, grounded answers through a technique called GraphRAG.

Does it require coding to build an agent?

No, it features a no-code interface where you can generate agents using AI prompts based on your database schema, though it supports custom Cypher queries for advanced users.

What LLMs and embedding models are supported?

Aura Agent currently supports various models including OpenAI (via Azure) and Vertex AI (Gemini) for embeddings and reasoning.

How can I access my agent externally?

Agents can be accessed via a secure HTTPS endpoint using an Aura API key or deployed as an MCP (Model Context Protocol) server.

Where is the data processed?

Currently, Aura Agent orchestration and interactions are processed in the GCP Europe-West1 (Belgium) region.

What are the primary tools available to an agent?

The agent can use Similarity Search (vector indexes), Cypher Templates (predefined logic), and Text2Cypher (dynamic query generation).

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Agents

Freemium

Neo4j Aura Agent

Build and deploy expert AI agents grounded in knowledge graphs. Uses GraphRAG to provide LLMs with accurate context, improving reasoning and reducing hallucinations in enterprise AI apps.

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Rating

Reviews

Upvotes

3 months ago

Listed

Agents

GraphRAG

Knowledge Graphs

Generative AI

AI Orchestration

No-Code AI

Enterprise AI

Database Tools

Vector Search

Tool information

Provider

Neo4j

Platforms

Web

GCP

AWS

Azure

Languages

English

API Available

Yes

Added to directory

3 months ago

Last updated

about 2 months ago

Rating

Not available

Pricing

Freemium

About Neo4j Aura Agent

What the tool does and who it's for

Neo4j Aura Agent is a managed, no-code/low-code platform designed to build, test, and deploy AI agents grounded in enterprise knowledge graphs. It utilizes GraphRAG (Graph Retrieval-Augmented Generation) to provide LLMs with structured, high-fidelity context, significantly reducing hallucinations. The tool automates agent creation by analyzing database schemas and allows developers to integrate advanced reasoning and explainability into their AI workflows. It supports seamless deployment via HTTPS endpoints or as Model Context Protocol (MCP) servers, making knowledge graph data accessible to various AI applications.

Key capabilities

Auto-Construct Agents: Automatically generate agents based on your existing knowledge graph schema and use case descriptions.

GraphRAG Integration: Combines vector search with graph traversal to provide deep, structured context to LLMs.

No-Code UI: Build, test, and iterate on agent behavior directly within the Neo4j Aura console.

Built-in Retrieval Tools: Includes Similarity Search (vector), Cypher Templates (parameterized queries), and Text2Cypher.

MCP Server Support: Expose agents as Model Context Protocol servers to integrate with tools like VS Code or Cursor.

Advanced Reasoning: Curated AI models configured for multi-step planning and explainable retrieval results.

Hybrid Search: Seamlessly blends semantic vector search with structured graph queries for high-accuracy answers.

Cloud Native: Fully managed on Google Cloud (GCP) with regional availability in Europe (Belgium).

Pricing

Freemium — plans below

AuraDB Free

1 Database instance
Up to 200K nodes
Up to 400K relationships
Community support
Learning and prototyping

AuraDB Professional

AuraDB Business Critical

$146/GB/mo

99.95% Uptime SLA
Multi-zone high availability
Advanced security (SSO, RBAC)
24/7 Premium support
VPC Isolation

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