~/talk

Codepocalypse Now Lang Chain4j vs Spring Al

on YouTube 46m
Talkat DevFest Toulouse 2025 · on Thursday, 2025-11-13· [ai-assisted-development, java]

speakers

name:Baruch Sadogursky
website:https://speaking.jbaru.ch
name:Viktor Gamov
website:http://gamov.io

resources

video:https://youtu.be/wDKzRI8bT6Y
slides:none on file

summary

Both frameworks implement the same airline-loyalty assistant (OpenAI APIs, PDF knowledge base, embeddings) and demonstrate LLM calls, conversational memory, RAG, MCP tool-calls and local models. LangChain4j wires memory with one annotation and exposes tools via Dev UI; Spring AI adds advisors (logger + chat-memory max messages 20) and configuration properties. RAG uses in-memory vectors (score ~0.87) from PDF chunks to correct Delta’s outdated MQD info (shows 28,000); both approaches work, LangChain4j feels more configuration-light.

AI-written summary · about

chapters (6)

  1. 0:00LangChain4j vs Spring AI
  2. 6:33LLM integration basics
  3. 16:52Conversational memory
  4. 23:06Retrieval augmented generation
  5. 37:17Model Context Protocol
  6. 44:46Local models & closing

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