))
Ep47: Langchain4j GraphRAG Friction + MCP Authorization Headaches
Manage episode 487226218 series 3579839
Content provided by jmhreif. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by jmhreif or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
In this episode, I share some hands-on insights from building apps with Langchain4j using Quarkus and Neo4j, and compare it with Spring AI—especially around how each framework handles vector search and GraphRAG workflows. Spoiler: customization in Langchain4j feels a bit clunky.
I also dig into one article's critical take on the MCP authorization spec and why its current approach to security is misaligned with how enterprises actually structure identity and access. The article I discuss breaks down both the architectural intentions and the practical enterprise concerns—token handling, overhead, and developer friction.
If you’re working at the intersection of GenAI infrastructure and enterprise systems, this one’s for you.
47 episodes
Share
