Document Bedrock Titan Embedding API and clients

 - Remove outdated Bedrock README fiels and add references to the main docs.

Author: tzolov

models/spring-ai-bedrock/README.md

@@ -2,7 +2,6 @@
 
 [Amazon Bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-bedrock.html) is a managed service that provides foundation models from various AI providers, available through a unified API.
 
-
 Spring AI implements `API` clients for the [Bedrock models](https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids-arns.html) along with implementations for the `ChatClient`, `StreamingChatClient` and the `EmbeddingClient`.
 
 The API clients provide structured, type-safe implementation for the Bedrock models, while the `ChatClient`, `StreamingChatClient` and the `EmbeddingClient` implementations provide Chat and Embedding clients compliant with the Spring-AI API. Later can be used interchangeably with the other (e.g. OpenAI, Azure OpenAI,
@@ -21,64 +20,13 @@ Also Spring-AI provides Spring Auto-Configurations and Boot Starters for all cli
 
   Go to [Amazon Bedrock](https://us-east-1.console.aws.amazon.com/bedrock/home) and from the [Model Access](https://us-east-1.console.aws.amazon.com/bedrock/home?region=us-east-1#/modelaccess) menu on the left configure the access to the models you are going to use.
 
-## Quick start
-
-Add the `spring-ai-bedrock-ai-spring-boot-starter` dependency to your project POM:
-
-```xml
-<dependency>
- <artifactId>spring-ai-bedrock-ai-spring-boot-starter</artifactId>
- <groupId>org.springframework.ai</groupId>
-    <version>0.8.0-SNAPSHOT</version>
-</dependency>
-```
-
-### Connect to AWS Bedrock
-
-Use the `BedrockAwsConnectionProperties` to configure the AWS credentials and region:
-
-```shell
-spring.ai.bedrock.aws.region=us-east-1
-
-spring.ai.bedrock.aws.access-key=YOUR_ACCESS_KEY
-spring.ai.bedrock.aws.secret-key=YOUR_SECRET_KEY
-```
-
-The `region` property is compulsory.
-
-The AWS credentials are resolved in the following this order:
-
-* Spring-AI Bedrock `spring.ai.bedrock.aws.access-key` and `spring.ai.bedrock.aws.secret-key` properties.
-* Java System Properties - `aws.accessKeyId` and `aws.secretAccessKey`
-* Environment Variables - `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`
-* Web Identity Token credentials from system properties or environment variables
-* Credential profiles file at the default location (`~/.aws/credentials`) shared by all AWS SDKs and the AWS CLI
-* Credentials delivered through the Amazon EC2 container service if `AWS_CONTAINER_CREDENTIALS_RELATIVE_URI`" environment variable is set and security manager has permission to access the variable,
-* Instance profile credentials delivered through the Amazon EC2 metadata service or set the `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY` environment variables.
-
-### Enable selected Bedrock model
-
-> **NOTE**: By default all models are disabled. You have to enable the chosen Bedrock models explicitly, using the `spring.ai.bedrock.<model>.<chat|embedding>.enabled=true` property.
-
-Here are the supported `<model>` and `<chat|embedding>` combinations:
-
-| Model | Chat | Chat Streaming | Embedding |
-| ------------- | ------------- | ------------- | ------------- |
-| llama2 | Yes | Yes | No |
-| cohere | Yes | Yes | Yes |
-| anthropic | Yes | Yes | No |
-| jurassic2 | Yes | No | No |
-| titan | Yes | Yes | Yes (no batch mode!) |
-
-For example to enable the bedrock Llama2 Chat client you need to set the
-`spring.ai.bedrock.llama2.chat.enabled=true`.
+## User guides
 
-Next you can use the `spring.ai.bedrock.<model>.<chat|embedding>.*` properties to configure each model as provided in its documentation:
+[Amazon Bedrock Overview](https://docs.spring.io/spring-ai/reference/api/bedrock.html)
 
-* [Spring AI Bedrock Llama2 Chat](./README_LLAMA2_CHAT.md) - `spring.ai.bedrock.llama2.chat.enabled=true`
-* [Spring AI Bedrock Cohere Chat](./README_COHERE_CHAT.md) - `spring.ai.bedrock.cohere.chat.enabled=true`
-* [Spring AI Bedrock Cohere Embedding](./README_COHERE_EMBEDDING.md) - `spring.ai.bedrock.cohere.embedding.enabled=true`
-* [Spring AI Bedrock Anthropic Chat](./README_ANTHROPIC_CHAT.md) - `spring.ai.bedrock.anthropic.chat.enabled=true`
-* [Spring AI Bedrock Titan Chat](./README_TITAN_CHAT.md) - `spring.ai.bedrock.titan.chat.enabled=true`
-* [Spring AI Bedrock Titan Embedding](./README_TITAN_EMBEDDING.md) - `spring.ai.bedrock.titan.embedding.enabled=true`
-* (WIP) [Spring AI Bedrock Ai21 Jurassic2 Chat](./README_JURASSIC2_CHAT.md) - `spring.ai.bedrock.jurassic2.chat.enabled=true`
+- [Anthropic Chat Documentation](https://docs.spring.io/spring-ai/reference/api/clients/bedrock/bedrock-anthropic.html).
+- [Cohere Chat Documentation](https://docs.spring.io/spring-ai/reference/api/clients/bedrock/bedrock-cohere.html).
+- [Cohere Embedding Documentation](https://docs.spring.io/spring-ai/reference/api/embeddings/bedrock-cohere-embedding.html).
+- [Llama2 Chat Documentation](https://docs.spring.io/spring-ai/reference/api/clients/bedrock/bedrock-llama2.html).
+- [Titan Chat Documentation](https://docs.spring.io/spring-ai/reference/api/clients/bedrock/bedrock-titan.html).
+- [Titan Embedding Documentation](https://docs.spring.io/spring-ai/reference/api/embeddings/bedrock-titan-embedding.html).