Resolving LangChain4j AI services by interface

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Introduction In a recent series of Artificial Intelligence related blog posts, we have learned about the Camel Quarkus LangChain4j extension. It offers possibilities to implement new AI related scenarios like data extraction. The underlying implementation of Quarkus LangChain4j seems to offer interesting abstractions that, for instance make it possible to switch between Large Language Models quite simply. We have also started to see some improvements when it comes to invoking AI services thanks to camel bean binding and annotations.

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Kaoto v2.3 release

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Following the Apache Camel 4.9.0 release, we’re happy to announce the release of Kaoto 2.3. What’s New in Kaoto 2.3? We’re thrilled to announce the release of Kaoto 2.3, bringing new features, improvements, and bug fixes to enhance your integration experience. This release also brings the first technical preview of a long awaited feature: the Kaoto DataMapper with the ability to perform data transformations using Camel. Here are the key highlights of this release Kaoto DataMapper technical preview In this release, we are introducing the new Kaoto DataMapper, a graphical way of authoring data mappings inside your routes using Kaoto.

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