Taming the Information Chaos: Building an AI Ally with Langchain4J
summary
A hands-on Java-focused session showing how to build a custom AI agent using Quarkus and Langchain4j to ease information search across documentation and apps. Covers project setup, Quarkus + Langchain4j integration, real integration and NLP challenges encountered, and practical development decisions and tips for Java developers building AI assistants.
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chapters (17)
- 0:00Introduction
- 1:24AI tools limitations
- 3:10What is RAG?
- 6:18What is LangChain4J?
- 7:43Ollama setup for LLM
- 9:09Quarkus for dev experience
- 10:32Simple RAG demo
- 18:50RAG limitations
- 19:32Company Genie demo
- 21:58Document ingestion
- 24:04Text classification
- 27:17Adding tools
- 31:11Key features
- 33:44LLM and embeddings
- 35:26LangChain4J evolution
- 36:51Further resources
- 37:11Q&A
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