feat: Kotlin for AI app development (#4859)

* feat: kotlin for AI app development initial commit

* update: second iteration

* update: third iteration

* update: fourth iteration

* update: Sarah's review

* fix: last fixes

Author: koshachy

docs/kr.tree

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 		<toc-element topic="native-overview.md"/>
 		<toc-element topic="js-overview.md"/>
 		<toc-element accepts-web-file-names="data-science-overview.html" topic="data-analysis-overview.md"/>
+		<toc-element topic="kotlin-ai-apps-development-overview.md"/>
 		<toc-element topic="competitive-programming.md"/>
 	</toc-element>
 	<toc-element toc-title="What's new in Kotlin">
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 		<toc-element toc-title="Press kit" href="https://kotlinlang.org/assets/kotlin-media-kit.pdf"/>
 		<toc-element hidden="true" topic="test-page.md"/>
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-</instance-profile>
+</instance-profile>

docs/topics/kotlin-ai-apps-development-overview.md

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+[//]: # (title: Kotlin for AI-powered app development)
+
+Kotlin provides a modern and pragmatic foundation for building AI-powered applications.  
+It can be used across platforms, integrates well with established AI frameworks, and supports common AI development patterns.
+
+> This page introduces how Kotlin is used in real-world AI scenarios with working examples from
+> the [Kotlin-AI-Examples](https://github.com/Kotlin/Kotlin-AI-Examples) repository.
+> 
+{style="note"}
+
+## Kotlin AI agentic framework – Koog
+
+[Koog](https://github.com/JetBrains/koog) is a Kotlin-based framework for creating and running AI agents locally, without requiring external services.
+Koog is JetBrains' innovative, open-source agentic framework that empowers developers to build AI agents within the JVM ecosystem.
+It provides a pure Kotlin implementation for building intelligent agents that can interact with tools, handle complex workflows, and communicate with users.
+
+## More use cases
+
+There are many other use cases where Kotlin can help with AI development.
+From integrating language models into backend services to building AI-powered user interfaces,
+these examples showcase the versatility of Kotlin in various AI applications.
+
+### Retrieval-augmented generation 
+
+Use Kotlin to build retrieval-augmented generation (RAG) pipelines that connect language models to external sources like documentation, vector stores, or APIs.
+For example:
+
+* [`springAI-demo`](https://github.com/Kotlin/Kotlin-AI-Examples/tree/master/projects/spring-ai/springAI-demo): A Spring Boot app that loads Kotlin standard library docs into a vector store and supports document-based Q&A.
+* [`langchain4j-spring-boot`](https://github.com/Kotlin/Kotlin-AI-Examples/tree/master/projects/langchain4j/langchain4j-spring-boot): A minimal RAG example using LangChain4j.
+
+### Agent-based applications
+
+Build AI agents in Kotlin that reason, plan, and act using language models and tools.
+For example:
+
+* [`koog`](https://github.com/JetBrains/koog): Shows how to use the Kotlin agentic framework Koog to build AI agents.
+* [`langchain4j-spring-boot`](https://github.com/Kotlin/Kotlin-AI-Examples/tree/master/projects/langchain4j/langchain4j-spring-boot): Includes a simple tool-using agent built with LangChain4j.
+
+### Chain of thought prompting
+
+Implement structured prompting techniques that guide language models through multistep reasoning.
+For example:
+
+* [`LangChain4j_Overview.ipynb`](https://github.com/Kotlin/Kotlin-AI-Examples/blob/master/notebooks/langchain4j/LangChain4j_Overview.ipynb): A Kotlin Notebook demonstrating chain of thought and structured output.
+
+### LLMs in backend services
+
+Integrate LLMs into business logic or REST APIs using Kotlin and Spring.
+For example:
+
+* [`spring-ai-examples`](https://github.com/Kotlin/Kotlin-AI-Examples/tree/master/projects/spring-ai/spring-ai-examples): Includes classification, chat, and summarization examples.
+* [`springAI-demo`](https://github.com/Kotlin/Kotlin-AI-Examples/tree/master/projects/spring-ai/springAI-demo): Demonstrates full integration of LLM responses with application logic.
+
+### Multiplatform user interfaces with AI
+
+Use Compose Multiplatform to build interactive AI-powered UIs in Kotlin.
+For example:
+
+* [`mcp-demo`](https://github.com/Kotlin/Kotlin-AI-Examples/tree/master/projects/mcp/mcp-demo): A desktop UI that connects to Claude and OpenAI, and presents responses using Compose Multiplatform.
+
+## Explore examples
+
+You can explore and run examples from the [Kotlin-AI-Examples](https://github.com/Kotlin/Kotlin-AI-Examples) repository.  
+Each project is self-contained. You can use each project as a reference or template for building Kotlin-based AI applications.
+
+## What's next
+
+* Complete the [Build a Kotlin app that uses Spring AI to answer questions based on documents stored in the Qdrant](spring-ai-guide.md)
+  tutorial to learn more about using Spring AI with Kotlin in IntelliJ IDEA
+* Join the [Kotlin community](https://kotlinlang.org/community/) to connect with other developers building AI applications with Kotlin