Java Meets AI: How to build LLM-Powered Applications with LangChain4j by Lize Raes

Ai

Discover how to seamlessly integrate Large Language Models (LLMs) into your Java applications with LangChain4j, featuring setting up models, embedding, chat applications, integration with Quarkus and Spring Boot, and open-source contributions.

Key takeaways

Use LLMs in Java applications

  • LangChain4j library makes it easy to interact with LLMs
  • Can use LLMs in Java applications with minimal code changes

Setting up LLMs in Java

  • Use LangChain4j to set up LLMs in Java applications
  • Can use any type of model, including image models

Embedding models

  • LLMs can be used for embedding models
  • Can retrieve similar vectors with similar meaning

Chat applications

  • Can use LLMs to create chat applications
  • Can respond to user input and provide relevant output

Integration with Quarkus and Spring Boot

  • LangChain4j has integrations with Quarkus and Spring Boot
  • Can use LLMs in Quarkus and Spring Boot applications

Open-source and community-driven

  • LangChain4j is open-source and community-driven
  • Can contribute to the project and get involved in the community

Use cases for LLMs

  • Can use LLMs for sentiment analysis, language translation, and more
  • Can use LLMs in various industries, including healthcare and finance