langchain4j-rag-implementation-patterns

Features and purpose

Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI applications. Use when creating question-answering systems over document collections or AI assistants with external knowledge bases.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.