--- title: Building Intelligent Document Processing with Apache... description: 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... canonical: https://daily.dev/posts/building-intelligent-document-processing-with-apache-camel-docling-and-langchain4j-3xwnyztpy twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Building Intelligent Document Processing with Apache Camel, Docling and LangChain4j | daily.dev og:description: 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... og:url: https://daily.dev/posts/building-intelligent-document-processing-with-apache-camel-docling-and-langchain4j-3xwnyztpy og:image: https://api.daily.dev/og/posts/3xWnyzTpy.png og:image:alt: Building Intelligent Document Processing with Apache Camel, Docling and LangChain4j og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Building Intelligent Document Processing with Apache Camel, Docling and LangChain4j **[Baeldung](https://daily.dev/sources/baeldung)** · 9 min read · 5 upvotes · 0 comments ## Summary 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. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### How do I convert a PDF into Markdown using Docling with Apache Camel? Use the camel-docling component's docling:CONVERT_TO_MARKDOWN endpoint pointed at a running docling-serve instance, configured with useDoclingServe=true and doclingServeUrl. A Camel route watching a documents directory sends each file automatically, and docling-serve returns the converted Markdown in the message body, which can then be written to disk. _Developers wiring PDF ingestion into AI pipelines can find integration patterns like this through daily.dev._ ### How can I send extracted document text to an LLM using LangChain4j from an Apache Camel route? Bind an OpenAiChatModel instance to Camel's registry under a name like chatModel, then route the prompt body to the langchain4j-chat component with chatModel=#chatModel referencing that bound instance. Camel resolves the model from its registry and forwards the constructed prompt, including embedded document content, to generate a response. _Teams combining Camel routing with LLM calls can track integration approaches like this via daily.dev._ ### How do I avoid re-converting a PDF to Markdown on every API request in a document Q&A service? Convert the document once and store the resulting Markdown file, then use Camel's pollEnrich EIP with idempotent=false to re-read that same Markdown file on every incoming HTTP request instead of invoking Docling again. This keeps question-answering requests lightweight since only the cached Markdown, not the original PDF, is reprocessed each time. _Developers optimizing RAG-style Q&A APIs for repeated queries can follow patterns like this on daily.dev._ ## Similar posts on daily.dev - [Orchestrating Agentic and Multimodal AI Pipelines with Apache Camel](https://daily.dev/posts/orchestrating-agentic-and-multimodal-ai-pipelines-with-apache-camel-gsj1h57u6) · InfoQ · 0 upvotes · 0 comments - [LLM Integration With Apache Camel OpenAI Component](https://daily.dev/posts/llm-integration-with-apache-camel-openai-component-xarxzi5rz) · Baeldung · 2 upvotes · 0 comments --- Tags: [#java](https://daily.dev/tags/java), [#langchain4j](https://daily.dev/tags/langchain4j), [#apache-camel](https://daily.dev/tags/apache-camel) [View this post on daily.dev](https://daily.dev/posts/building-intelligent-document-processing-with-apache-camel-docling-and-langchain4j-3xwnyztpy) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Building Intelligent Document Processing with Apache Camel, Docling and LangChain4j","url":"https://daily.dev/posts/building-intelligent-document-processing-with-apache-camel-docling-and-langchain4j-3xwnyztpy","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/building-intelligent-document-processing-with-apache-camel-docling-and-langchain4j-3xwnyztpy"},"datePublished":"2026-07-30T23:54:30.429Z","dateModified":"2026-09-14T06:28:38.832Z","description":"A step-by-step guide to building an AI-powered document processing system using Apache Camel, IBM Docling, and LangChain4j in Java. 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