LangChain4j RAG Implementation Patterns

Overview

Implements RAG systems with LangChain4j: document ingestion pipelines, embedding stores, and vector search for chat-with-documents and knowledge-enhanced AI applications.

When to Use This Skill

• Building chat-with-documents systems or document Q&A over PDFs, text files, or web pages
• Creating AI assistants with access to company knowledge bases or external sources
• Implementing semantic search or hybrid search over document repositories
• Building domain-specific AI with curated knowledge and source attribution

Instructions

Initialize RAG Project

Create a new Spring Boot project with required dependencies: