# Neo4j GraphRAG

> Use this tool when you need to integrate large language models with Neo4j databases, overcoming limitations in search index usage and optimizing query performance. It combines vector similarity search, fulltext search, and search-augmented Cypher queries, generating embeddings server-side and injecting them as parameters. Ideal for applications requiring efficient and scalable graph database queries with advanced search capabilities.

Canonical page: https://skillsregistry.net/skills/guerinjeanmarc-neo4j-graphrag  
JSON: https://api.skillsregistry.net/v1/skills/guerinjeanmarc-neo4j-graphrag

## Description

Unified Neo4j GraphRAG server combining vector similarity search, fulltext search, and search-augmented Cypher queries into a single implementation. Solves the critical limitation where LLMs cannot directly use Neo4j search indexes in Cypher by generating embeddings server-side and injecting them as parameters. Includes production-ready safeguards with automatic data sanitization for large embeddings and text content, intelligent token-aware response truncation limiting outputs to 8,000 tokens, and property size warnings to optimize query performance.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/guerinjeanmarc-neo4j-graphrag)
- **Repository:** <https://github.com/neo4j-field/mcp-neo4j-graphrag>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "guerinjeanmarc-neo4j-graphrag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/guerinjeanmarc-neo4j-graphrag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/guerinjeanmarc-neo4j-graphrag/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt