In the rapidly evolving landscape of AI-powered applications, the ability to process and understand documents has become increasingly crucial. Whether you’re dealing with PDFs, Word documents, or PowerPoint presentations, extracting meaningful insights from unstructured data is a challenge many developers face daily. In this post, we’ll explore how Apache Camel’s new AI components enable developers to build sophisticated RAG (Retrieval Augmented Generation) pipelines with minimal code. We’ll combine the power of Docling for document conversion with LangChain4j for AI orchestration, all orchestrated through Camel’s YAML DSL.

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AI

© Paul Klee - Kunstsammlung Nordrhein-Westfalen Here we are with Camel K 2.8.0. We are please to announce the general availability of a new Camel K version. There are a few new exciting features we want to share within this release. Git branch/tag/commit In version 2.7.0 we announced the possibility to build a Camel application directly from Git source. We have worked in this release to include the possibility to specify a branch, tag or generically a commit to the configuration.

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RELEASESROADMAP

What’s New in Kaoto 2.7? We’re excited to announce the release of Kaoto 2.7, bringing significant enhancements to the visual integration design experience for Apache Camel. This release focuses on expanding DataMapper capabilities, improving developer productivity, and delivering a more intuitive canvas experience. Here are the key highlights of this release DataMapper JSON Support One of the most significant additions in Kaoto 2.7 is comprehensive JSON support for the DataMapper.

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RELEASESTOOLING