Remove serverless public preview warnings

README.md

@@ -66,10 +66,6 @@ const pc = new Pinecone({
 
 #### Create a serverless index with minimal configuration
 
-> ⚠️ **Warning**
->
-> Serverless indexes are in **public preview** and are available only on AWS in the `us-west-2` region. Check the [current limitations](https://docs.pinecone.io/docs/limits#serverless-index-limitations) and test thoroughly before using it in production.
-
 At a minimum, to create a serverless index you must specify a `name`, `dimension`, and `spec`. The `dimension` indicates the size of the records you intend to store in the index. For example, if your intention was to store and query embeddings generated with OpenAI's [textembedding-ada-002](https://platform.openai.com/docs/guides/embeddings/second-generation-models) model, you would need to create an index with dimension `1536` to match the output of that model.
 
 The `spec` configures how the index should be deployed. For serverless indexes, you define only the cloud and region where the index should be hosted. For pod-based indexes, you define the environment where the index should be hosted, the pod type and size to use, and other index characteristics.

src/pinecone-generated-ts-fetch/models/CreateIndexRequestSpec.ts

@@ -27,11 +27,10 @@ import {
 } from './ServerlessSpec';
 
 /**
- * The spec object defines how the index should be deployed.
+ * The spec object defines how the index should be deployed. For serverless indexes, you define only the cloud and region 
+ * where the index should be hosted. For pod-based indexes, you define the environment where the index should be hosted, 
+ * the pod type and size to use, and other index characteristics.
  * 
- * For serverless indexes, you define only the cloud and region where the index should be hosted. For pod-based indexes, you define the environment where the index should be hosted, the pod type and size to use, and other index characteristics.
- * 
- * Serverless indexes are in public preview and are available only on AWS in the us-west-2 region. Test thoroughly before using serverless indexes in production.
  * @export
  * @interface CreateIndexRequestSpec
  */

src/pinecone.ts

@@ -304,11 +304,6 @@ export class Pinecone {
    * ```
    *
    * @example
-   *
-   * > ⚠️ **Warning**
-   * >
-   * > Serverless indexes are in **public preview** and are available only on AWS in the `us-west-2` region. Check the [current limitations](https://docs.pinecone.io/docs/limits#serverless-index-limitations) and test thoroughly before using it in production.
-   *
    * The `spec` object defines how the index should be deployed. For serverless indexes, you define only the cloud and region where the index should be hosted.
    * For pod-based indexes, you define the environment where the index should be hosted, the pod type and size to use, and other index characteristics.
    * In a different example, you can create a pod-based index by specifying the `pod` spec object with the `environment`, `pods`, `podType`, and `metric` properties.

v2-migration.md

@@ -87,10 +87,6 @@ In the new `v2.0.0` client, there is a lot more flexibility in how indexes are c
 
 ### Creating a serverless index
 
-> ⚠️ **Warning**
->
-> Serverless indexes are in **public preview** and are available only on AWS in the `us-west-2` region. Check the [current limitations](https://docs.pinecone.io/docs/limits#serverless-index-limitations) and test thoroughly before using it in production.
-
 Serverless indexes are newly available with the `v2.0.0` client, and you must be on this version or greater to work with them. Creating a serverless index requires defining the `cloud` and `region` where the server should be hosted via the `spec` object with the key `serverless`.
 
 ```typescript