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Remove broken links in removed components
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content/blog/2024/12/langchain4j-bean-interface/index.md

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@@ -75,7 +75,7 @@ As always, there are manual [workarounds](https://quarkus.io/guides/cdi-referenc
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However, this kind of issues is best fixed in the Camel Quarkus LangChain4j extension itself.
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Indeed, this extension aims at solving as much as possible the intricacies of developing camel routes using high-level [AI services](https://docs.langchain4j.dev/tutorials/ai-services/).
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The good news is that the [AI service resolution by interface](/camel-quarkus/next/reference/extensions/langchain4j.html#extensions-langchain4j-configuration-resolving-ai-services-by-interface) has just been delivered with the recent [Camel Quarkus 3.17.0 release](/blog/2024/12/camel-quarkus-release-3.17.0/).
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The good news is that the AI service resolution by interface has just been delivered with the recent [Camel Quarkus 3.17.0 release](/blog/2024/12/camel-quarkus-release-3.17.0/).
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# Conclusion
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Being able to resolve AI services by interface is just one of those goodness.
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There are actually more coming in future versions.
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That should be a good subject for a next blog post.
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Meanwhile, I would encourage the community to test out the [Camel Quarkus Langchain4j extension](/camel-quarkus/next/reference/extensions/langchain4j.html).
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Meanwhile, I would encourage the community to test out the Camel Quarkus Langchain4j extension.
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And please, as usual, feel welcome to report any bugs and improvements [here](https://github.com/apache/camel-quarkus/issues/new/choose).

content/blog/2025/01/langchain4j-bean-name/index.md

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# Conclusion
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In this article, we have seen yet another goodness of the [Camel Quarkus LangChain4j extension](/camel-quarkus/next/reference/extensions/langchain4j.html).
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In this article, we have seen yet another goodness of the Camel Quarkus LangChain4j extension.
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Camel users are used to invoke bean by name since years, so it really makes sense to also resolve AI services the same way.
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So, if you are on the path of exploring what AI could bring to integration scenarios and not afraid to write a few lines of code, I would encourage you to test out the [Camel Quarkus Langchain4j extension](/camel-quarkus/next/reference/extensions/langchain4j.html).
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So, if you are on the path of exploring what AI could bring to integration scenarios and not afraid to write a few lines of code, I would encourage you to test out the Camel Quarkus Langchain4j extension.
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Of course, feedbacks and contributions are welcome, so feel free to report any bugs and improvements [here](https://github.com/apache/camel-quarkus/issues/new/choose).

content/blog/2025/02/langchain-structured-output/index.md

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In this sense, this improvement comes almost for free.
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By making the LLM to adhere to a specific JSON schema, the data extraction accuracy is expected to raise up.
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Still, it would be good to find concrete benchmarks about impact on performance and accuracy.
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Anyway, it seems to be a good milestone on our journey toward using AI with the [Camel Quarkus Langchain4j extension](/camel-quarkus/next/reference/extensions/langchain4j.html).
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Anyway, it seems to be a good milestone on our journey toward using AI with the Camel Quarkus Langchain4j extension.
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By the way, feel welcome to play with it and report any bugs and improvements [here](https://github.com/apache/camel-quarkus/issues/new/choose).

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