Add VertexAi Embeddings Docs + clear READMEs

Author: tzolov

models/spring-ai-azure-openai/README.md

@@ -1,3 +1,5 @@
 # Azure OpenAI
 
-Visit the Spring AI [Azure OpenAI Chat Documentation](https://docs.spring.io/spring-ai/reference/api/clients/azure-openai-chat.html).
+Visit the Spring AI
+ - [Azure OpenAI Chat Documentation](https://docs.spring.io/spring-ai/reference/api/clients/azure-openai-chat.html).
+ - [Azure OpenAI Embedding Documentation](https://docs.spring.io/spring-ai/reference/api/embeddings/azure-openai-embeddigs.html).

models/spring-ai-huggingface/README.md

@@ -0,0 +1,5 @@
+# Huggingface Chat
+
+Visit the Spring AI
+ - [Huggingface Chat Documentation](https://docs.spring.io/spring-ai/reference/api/clients/huggingface.html).
+

models/spring-ai-ollama/README.md

@@ -1,3 +1,5 @@
 # Ollama Chat
 
-Visit the Spring AI [Ollama Chat Documentation](https://docs.spring.io/spring-ai/reference/api/clients/ollama-chat.html).
+Visit the Spring AI
+ - [Ollama Chat Documentation](https://docs.spring.io/spring-ai/reference/api/clients/ollama-chat.html).
+ - [Ollama Embedding Documentation](https://docs.spring.io/spring-ai/reference/api/embeddings/ollama-embeddings.html).

models/spring-ai-openai/README.md

@@ -1,3 +1,6 @@
 # OpenAI Chat
 
-Visit the Spring AI [OpenAI Chat Documentation](https://docs.spring.io/spring-ai/reference/api/clients/openai-chat.html).
+Visit the Spring AI
+ - [OpenAI Chat Documentation](https://docs.spring.io/spring-ai/reference/api/clients/openai-chat.html).
+ - [OpenAI Embedding Documentation](https://docs.spring.io/spring-ai/reference/api/embeddings/openai-embeddings.html).
+

models/spring-ai-postgresml/README.md

@@ -0,0 +1,4 @@
+# PostgresML Embeddings
+
+Visit the Spring AI
+ - [PostgresML Embedding Documentation](https://docs.spring.io/spring-ai/reference/api/embeddings/postgresml-embeddings.html).

models/spring-ai-transformers/README.md

@@ -0,0 +1,6 @@
+# Transformers (ONNX) Embeddings
+
+Visit the Spring AI:
+ - [Transformers Embedding Documentation](https://docs.spring.io/spring-ai/reference/api/embeddings/onnx.html).
+
+

models/spring-ai-vertex-ai/README.md

@@ -1,37 +1,6 @@
+# Vertex AI
 
-# Vertex AI API client for the Generative Language model
+Visit the Spring AI:
+ - [VertexAI Chat Documentation](https://docs.spring.io/spring-ai/reference/api/clients/vertexai-chat.html).
+ - [VertexAI Embedding Documentation](https://docs.spring.io/spring-ai/reference/api/embeddings/vertexai-embeddings.html).
 
-The [Generative Language](https://developers.generativeai.google/api/rest/generativelanguage) PaLM API allows developers to build generative AI applications using the PaLM model. Large Language Models (LLMs) are a powerful, versatile type of machine learning model that enables computers to comprehend and generate natural language through a series of prompts. The PaLM API is based on Google's next generation LLM, PaLM. It excels at a variety of different tasks like code generation, reasoning, and writing. You can use the PaLM API to build generative AI applications for use cases like content generation, dialogue agents, summarization and classification systems, and more.
-
-Based on the [Models REST API](https://developers.generativeai.google/api/rest/generativelanguage/models).
-
-## Prerequisite
-
-To access the PaLM2 REST API you need to obtain an access API KEY form [makersuite](https://makersuite.google.com/app/apikey).
-Note: Currently it is not available outside US, but you can use VPN for testing.
-
-## PaLM API
-
-The VertexAI, ChatClient and EmbeddingClient are built on top the [VertexAiApi.java](./src/main/java/org/springframework/ai/vertex/api/VertexAiApi.java) client library:
-
-![PaLM API](./src/test/resources/Google%20Generative%20AI%20-%20PaLM2%20REST%20API.jpg)
-
-Following snippets show how to use the `VertexAiApi` client directly:
-
-```java
-
-VertexAiApi vertexAiApi = new VertexAiApi(< YOUR PALM_API_KEY>);
-
-// Generate
-var prompt = new MessagePrompt(List.of(new Message("0", "Hello, how are you?")));
-
-GenerateMessageRequest request = new GenerateMessageRequest(prompt);
-
-GenerateMessageResponse response = vertexAiApi.generateMessage(request);
-
-// Embed text
-Embedding embedding = vertexAiApi.embedText("Hello, how are you?");
-
-// Batch embedding
-List<Embedding> embeddings = vertexAiApi.batchEmbedText(List.of("Hello, how are you?", "I am fine, thank you!"));
-```

models/spring-ai-vertex-ai/src/test/java/org/springframework/ai/vertex/VertexAiEmbeddingClientIT.java

@@ -1,18 +1,17 @@
 package org.springframework.ai.vertex;
 
+import java.util.List;
+
 import org.junit.jupiter.api.Test;
 import org.junit.jupiter.api.condition.EnabledIfEnvironmentVariable;
 
 import org.springframework.ai.embedding.EmbeddingResponse;
-import org.springframework.ai.vertex.VertexAiEmbeddingClient;
 import org.springframework.ai.vertex.api.VertexAiApi;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.boot.SpringBootConfiguration;
 import org.springframework.boot.test.context.SpringBootTest;
 import org.springframework.context.annotation.Bean;
 
-import java.util.List;
-
 import static org.assertj.core.api.Assertions.assertThat;
 
 @SpringBootTest

spring-ai-docs/src/main/antora/modules/ROOT/nav.adoc

@@ -3,14 +3,15 @@
 * xref:getting-started.adoc[Getting Started]
 * xref:api/index.adoc[]
 ** xref:api/embeddings.adoc[]
-*** xref:api/embeddings/onnx.adoc[]
 *** xref:api/embeddings/openai-embeddings.adoc[]
 *** xref:api/embeddings/ollama-embeddings.adoc[]
 *** xref:api/embeddings/azure-openai-embeddings.adoc[]
 *** xref:api/embeddings/postgresml-embeddings.adoc[]
-*** xref:api/bedrock.adoc[Amazon Bedrock Embedding]
+*** xref:api/embeddings/vertexai-embeddings.adoc[]
+*** xref:api/bedrock.adoc[Amazon Bedrock Embeddings]
 **** xref:api/embeddings/bedrock-cohere-embedding.adoc[]
 **** xref:api/embeddings/bedrock-titan-embedding.adoc[]
+*** xref:api/embeddings/onnx.adoc[]
 ** xref:api/chatclient.adoc[]
 *** xref:api/clients/openai-chat.adoc[]
 *** xref:api/clients/azure-openai-chat.adoc[]

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/clients/azure-openai-chat.adoc

@@ -135,7 +135,7 @@ public class ChatController {
         return Map.of("generation", chatClient.generate(message));
     }
 
-    @GetMapping("/open-ai/generateStream")
+    @GetMapping("/ai/generateStream")
 	public Flux<ChatResponse> generateStream(@RequestParam(value = "message", defaultValue = "Tell me a joke") String message) {
         Prompt prompt = new Prompt(new UserMessage(message));
         return chatClient.stream(prompt);