# August 2024 Product Update

> In August Pinecone serverless became generally available to Google Cloud Platform (GCP) and Microsoft Azure and embedding and reranking were added to the Pinecone API.

Rick Jacobs · 2024-09-03

In August Pinecone continued to expand our offerings. Serverless became generally available to Google Cloud Platform (GCP) and Microsoft Azure and embedding and reranking were added to the Pinecone API.

### Pinecone** **serverless is generally available on Azure and Google GCP

Pinecone serverless is generally available on [Azure](https://www.pinecone.io/blog/azure-serverless-ga) and [GCP](https://www.pinecone.io/blog/gcp-serverless-ga) in addition to AWS. Choose the [cloud and region](https://docs.pinecone.io/troubleshooting/available-cloud-regions) that suits you best and get:

- **A fully-managed developer experience:** No need to provision, manage, or even think about infrastructure when building and deploying your AI applications
- **High-quality results at any scale:** Proprietary algorithms provide AI applications with highly-relevant and fresh results as your data changes and grows
- **Fast and cost-effective vector search:** Only pay for what you use with a cloud-native decoupled compute and storage architecture

Over 30,000 organizations have collectively indexed over 25 billion on serverless since its launch. Join industry-leading companies including Cisco and Fileread and [start building on Pinecone serverless](https://app.pinecone.io/) now.

### Pinecone Assistant

The [Pinecone Assistant API](https://docs.pinecone.io/reference/api/2024-07/assistant/create-assistant) which allows developers to deploy customized assistants is now in public preview.

### Reranking with Pinecone Inference for more Accuracy

[Reranking](https://docs.pinecone.io/guides/inference/understanding-reranking#sdk-support) is now available with [Pinecone Inference](https://www.pinecone.io/blog/introducing-reranking-to-pinecone-inference/), an API that provides instant access to fully managed models hosted on Pinecone’s infrastructure. You can now embed, manage, query, and rerank with Pinecone via a single API.

Integrating [reranking](https://www.pinecone.io/learn/refine-with-rerank/) into your RAG applications can improve accuracy and reduce overall latency and cost. Check out our [guide](https://docs.pinecone.io/guides/inference/understanding-reranking#sdk-support) and [Colab notebook](https://colab.research.google.com/drive/1XBIIltm8BOykans_RixSrtYGGLA2ZUhC) and start [building more accurate AI applications with Reranking](https://docs.pinecone.io/models/bge-reranker-v2-m3) today.

### Increase data security with Backups and API key RBAC

[Backups](https://docs.pinecone.io/guides/indexes/back-up-an-index#serverless-index-backups) are now available for all Standard and Enterprise users to enable seamless backup and recovery of your data. Backups protect your data from system failures or accidental deletes and help you meet compliance requirements (e.g., SOC 2 audits).

We are also announcing API Key Roles in early access to enable Project Owners to set granular access controls – NoAccess, ReadOnly, or ReadWrite – for both the Control Plane and Data Plane within Pinecone serverless.

### Build faster with new SDKs 

We have also added several new SDKs for Go, C# and Scala.

**Scala (community developed)**

Link: [https://github.com/cequence-io/pinecone-scala/releases/tag/v1.0.0](https://github.com/cequence-io/pinecone-scala/releases/tag/v1.0.0)

**Go**

Link:[https://devblogs.microsoft.com/dotnet/introducing-pinecone-dotnet-sdk/](https://devblogs.microsoft.com/dotnet/introducing-pinecone-dotnet-sdk/)

**C#**

Link:[https://github.com/pinecone-io/pinecone-dotnet-client](https://github.com/pinecone-io/pinecone-dotnet-client)