Minor docs improvements
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@@ -3,10 +3,14 @@
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The integration of function support in AI models, permits the model to request the execution of client-side functions, thereby accessing necessary information or performing tasks dynamically as required.
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image::function-calling-basic-flow.jpg[Function calling, width=500, align="center"]
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Spring AI currently supports Function invocation for the following AI Models
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* OpenAI: Refer to the xref:api/chat/functions/openai-chat-functions.adoc[Open AI function invocation docs].
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* VertexAI Gemini: Refer to the xref:api/chat/functions/vertexai-gemini-chat-functions.adoc[Vertex AI Gemini function invocation docs].
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* Azure OpenAI: Refer to the xref:api/chat/functions/azure-open-ai-chat-functions.adoc[Azure OpenAI function invocation docs].
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* Mistral AI: Refer to the xref:api/chat/functions/mistralai-chat-functions.adoc[Mistral AI function invocation docs].
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* Anthropic Claude: Refer to the xref:api/chat/functions/anthropic-chat-functions.adoc[Anthropic Claude function invocation docs].
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* Anthropic Claude: Refer to the xref:api/chat/functions/anthropic-chat-functions.adoc[Anthropic Claude function invocation docs].
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* MiniMax : Refer to the xref:api/chat/functions/minimax-chat-functions.adoc[MiniMax function invocation docs].
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* ZhiPu AI : Refer to the xref:api/chat/functions/zhipuai-chat-functions.adoc[ZhiPu AI function invocation docs].
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@@ -28,6 +28,8 @@ Portable `Vector Store API` across multiple providers, including a novel `SQL-li
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image::function-calling-basic-flow.jpg[Function calling, width=500, align="center"]
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Check the Spring AI xref::api/functions.adoc[Function Calling] documentation.
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=== Auto Configuration
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Spring Boot Auto Configuration and Starters for AI Models and Vector Stores.
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