The Graph Layer Behind NASA’s Breakthroughs | Michael Hunger

The AI Native Dev - from Copilot today to AI Native Software Development tomorrow

Michael Hunger of Neo4j, joins Simon Maple to unpack how graph databases inject structure, intent, and traceability into modern AI systems.
On the docket:

• why relationships in data encode intent
• the black-box problem in vector based RAG
• why devs should build their own MCP server

AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.
Connect with us here:

1. Michael Hunger- https://www.linkedin.com/in/jexpde/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/
4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

(00:00) Trailer
(01:03) Introduction & Neo4j Origins
(03:02) Persisting Relationships for High-Performance Queries
(04:00) Modeling Business Intent & Key Use Cases
(05:00) Fraud Detection at Scale with Graph Algorithms
(06:11) Graph-Enhanced RAG vs. Vector-Only Retrieval
(09:02) Explainability & Drill-Down Evaluation in RAG
(13:05) Fusing Structured & Unstructured Data for Context
(15:00) MCP for Developer Productivity: Schema-to-Code & API Wrapping
(21:16) Security & Sandboxing Best Practices for MCP
(29:08) MCP Server Recommendations & Outro

Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh
Ask us questions: [email protected]

Bab

1. Trailer (00:00:00)

2. Introduction & Neo4j Origins (00:01:03)

3. Persisting Relationships for High-Performance Queries (00:03:02)

4. Modeling Business Intent & Key Use Cases (00:04:00)

5. Fraud Detection at Scale with Graph Algorithms (00:05:00)

6. Graph-Enhanced RAG vs. Vector-Only Retrieval (00:06:11)

7. Explainability & Drill-Down Evaluation in RAG (00:09:02)

8. Fusing Structured & Unstructured Data for Context (00:13:05)

9. MCP for Developer Productivity: Schema-to-Code & API Wrapping (00:15:00)

10. Security & Sandboxing Best Practices for MCP (00:21:57)

11. MCP Server Recommendations & Outro (00:29:49)