Using RAG is relatively simple, especially with libraries like LangChain4j, which provides modules for chunking, ingesting documents, and retrieving them from the vector store. However, getting satisfactory results may be more complicated. Hallucinations, inaccurate information, contradictory answers, invalid parsed data, or incomplete responses.

In this session, you’ll move your RAG knowledge to the next level using LangChain4j and Docling.