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Building Intelligent Document Processing with Apache Camel, Docling and LangChain4j

A step-by-step guide to building an AI-powered document processing system using Apache Camel, IBM Docling, and LangChain4j in Java. The tutorial covers converting PDF documents to Markdown via a Docling server running in Docker, orchestrating the workflow with Camel routes, sending the structured content to an OpenAI-compatible LLM through LangChain4j, and exposing an interactive Q&A HTTP API using an embedded Undertow server. Key patterns include caching the converted Markdown to avoid repeated conversions and using Camel's pollEnrich EIP to reuse preprocessed documents per request.

    #java#apache-camel#langchain4j
Jul 30•9m read time•From feeds.feedblitz.com
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Table of contents
1. Overview2. Problem Statement3. Project Setup4. Converting a PDF Document to Markdown5. Passing the Markdown Document to LangChain4j6. Interactive Q&A API7. Conclusion
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