This Week in Neo4j: MCP, Deployment, Vector, GraphRAG and more
Blog post from Neo4j
Neo4j's latest updates highlight the general availability of the Neo4j MCP Server, facilitating easier connections with Claude, VS Code, and other MCP hosts for various Neo4j deployments. The introduction of a native VECTOR data type promises to streamline application code by storing embedding vectors as fixed-length properties, enhancing safety and unlocking potential optimizations. The GraphAcademy is offering a new course on constructing knowledge graphs using the Neo4j GraphRAG package for Python, which allows for building enriched knowledge graphs from unstructured text and creating efficient retrievers. The community spotlight features AI engineer Vaibhava Lakshmi Ravideshik, who has contributed significantly to the development of adaptive GraphRAG architectures. Upcoming events include virtual conferences and livestreams, while the article also discusses deploying Neo4j securely on a VPS with guidance from Will Lyon.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| MCP | 11 | 4,899 | 392 | 145 | +47% |
| AI Agents | 2 | 2,834 | 598 | 185 | -18% |
| LLM | 2 | 3,775 | 638 | 202 | -32% |
| RAG | 2 | 909 | 198 | 86 | -19% |
| Vector Search | 2 | 1,445 | 313 | 116 | +11% |
| Multi-agent systems | 1 | 373 | 107 | 60 | +43% |
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