The startup’s guide to getting started building on Neo4j Aura
Blog post from Neo4j
Neo4j’s startup guide for Aura recommends first installing the Neo4j CLI and agent skills so coding agents can access current platform guidance, then using the getting-started skill to provision a database, create a schema, load sample data, and generate an application. It explains that Aura sizing should account for graph size, indexes, query patterns, and concurrent demand, while outlining Free, Professional, and Business Critical tiers and directing users to current documentation for detailed recommendations. The guide highlights GraphRAG, the MCP server, Graph Data Science, and persistent agent memory as tools suited to retrieval, agent integration, analytics, and conversational applications. It also warns startups to avoid duplicate credit applications, understand that credits expire 12 months after code issuance, time renewal applications carefully, and assign multiple Aura organization owners. Additional recommendations include using GraphAcademy courses, following secure driver and ingestion practices, load testing before launch, enabling query logging, using secure connections and access controls, and seeking help through Aura tools, Neo4j technical teams, documentation, community forums, and the support portal.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| MCP | 7 | 9,311 | 907 | 218 | -22% |
| AI Agents | 3 | 5,994 | 1,303 | 255 | -18% |
| AI Coding Assistant | 1 | 1,571 | 491 | 143 | -20% |
| Data Pipeline | 1 | 394 | 154 | 76 | -41% |
| RAG | 1 | 1,211 | 219 | 78 | -5% |
| Serverless | 1 | 869 | 231 | 104 | +5% |
| Vector Search | 1 | 2,397 | 384 | 131 | +5% |
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