Experimenting extraction from unstructured data with Apache Camel and LangChain4j

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This blog is based on experiments done about extracting structured data into its structured counterpart. More precisely, in this post, we’ll give directions about how to convert a conversation transcript into a Java object. Introduction Reading articles like this over the net, it seems that folks have a lot of unstructured data at the disposal while not being able to take advantage on it. So probably, in the future we might expect to deal more and more with unstructured data extraction in integration flow.

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Kaoto v2.1 release

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After the previous 2.0 GA release, we are happy to announce the release of Kaoto 2.1, packed with exciting new features, bug fixes, and various improvements to enhance the user experience. This update introduces the capability to choose your preferred Runtime version among other notable upgrades. Read on to discover the key highlights of this release and how they can improve your workflow with Kaoto. New Features Catalog: Empower users to pick a runtime and specific version to display the right components with their precise configurations.

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Kaoto v2.0 release

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After previously releasing 3 technical previews, we are thrilled to finally announce the release of Kaoto 2.0, marking the first big release after the project aligned to be much closer to Apache Camel. What is Kaoto? Kaoto, short for Kamel Orchestration Tool, is a low-code and no-code integration designer that allows users to create and edit integrations based on Apache Camel. It is extendable, flexible, and adaptable to various use cases, making it a versatile tool for integration projects.

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