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Building AI Powered Applications with Java

on YouTube 42m
Talkat DevDays || DevOps Pro || CyberWiseCon Europe 2025 · 2025-05-20..05-23· [ai-assisted-development]

speaker

name:Andres Almiray
website:https://andresalmiray.com/

resources

video:https://youtu.be/v5jFqTN4G-0
slides:none on file

summary

Java code wires external LLMs to private data using Spring AI and LangChain4j, vectorizing docs and storing embeddings in a DB (demo writes embeddings into an Oracle vector store via testcontainers). Retrieval-Augmented Generation works but is nondeterministic; parsing matters — no Asciidoc parser so results can be wrong. A batch run of 397 documents becomes 2,583 text segments and takes about a minute and a half to encode, illustrating real-world cost and latency.

AI-written summary · about

chapters (15)

  1. 0:00AI powered Java apps intro
  2. 3:20Why AI matters now
  3. 7:16Start AI in Java
  4. 10:27How LLMs work
  5. 12:13RAG with private data
  6. 13:16Vector DBs for AI
  7. 16:10Testcontainers for local AI
  8. 17:38Live RAG demo: LangChain4j & OpenAI
  9. 21:34Testing AI apps
  10. 24:24Optimize RAG doc processing
  11. 27:33Store embeddings in vector DB
  12. 31:07Model Context Protocol
  13. 34:41AI tools future impact
  14. 35:45Why Java developers should embrace AI tools
  15. 38:32Q&A

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