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Talk to Your Documents with LangChain4j and Java

Overview

Build Java applications that answer questions using information from your documents. Learn conversational AI, document processing, semantic retrieval, and retrieval-augmented generation with LangChain4j.

What you'll learn

  • Build conversational AI applications with Java and LangChain4j
  • Customize model responses and manage multi-turn conversations
  • Load, split, and prepare documents for AI-powered retrieval
  • Generate embeddings and perform similarity searches
  • Retrieve relevant document context for user questions
  • Implement a retrieval-augmented generation chatbot
  • Integrate conversational memory into document-based applications

Advantages and disadvantages

Advantages

  • University courses you can audit for free, with lectures, readings and practice quizzes.
  • A verified certificate from the university if you pay for it.
  • Self-paced: start any time.

Disadvantages

  • Graded assignments and the certificate need the paid track.
  • Audit access can expire a few weeks after the course ends.
  • Learning is free, but the certificate costs money.
  • Some parts (graded work, certificate) are paid.

Some points apply to every course of this kind; see how we rank.

Free to audit

  • Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
  • Paid: Graded assignments and the verified certificate (Certificate $55). Audit access may end after the course closes.

Before you start

Beginner: AI and Machine Learning Fundamentals (Java, LangChain, OpenAI) Beginner: RAG Systems and Vector Databases (Java, LangChain, OpenAI)

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