# May Monthly Product Update

> This month, we welcomed the general availability of Pinecone serverless on AWS, the public preview of Private Endpoints for AWS PrivateLink, and a fast-growing list of new integrations.

Xian Huang · 2024-06-03

This month, we welcomed the [general availability](https://www.pinecone.io/blog/serverless-generally-available/) of Pinecone serverless on AWS, the public preview of [Private Endpoints](https://docs.pinecone.io/guides/operations/enable-aws-privatelink) for AWS PrivateLink, and a fast-growing list of new integrations. Check out some of our product highlights below or read the full [release notes](https://docs.pinecone.io/release-notes/2024).

## Pinecone** **serverless is generally available on AWS

Pinecone serverless [reinvented](https://www.pinecone.io/blog/serverless-architecture/) vector databases for fast, accurate vector search at any scale with up to 50x lower costs. Serverless is currently available on AWS in us-west-2, us-east-1, and eu-west-1 regions, with more regions and support for Azure and GCP coming later in the year. Pinecone serverless also comes with:

- A new [Global Control Plane API](https://docs.pinecone.io/reference/api/introduction#control-plane) that simplifies operations across cloud environments
- New SDKs for [Python](https://docs.pinecone.io/reference/pinecone-clients#python-client), [Node](https://docs.pinecone.io/reference/pinecone-clients#node-js-client), and [Java](https://docs.pinecone.io/reference/pinecone-clients#java-client)
- New integrations with [Pulumi](https://docs.pinecone.io/integrations/pulumi), [Terraform](https://docs.pinecone.io/integrations/terraform), and [Spark](https://docs.pinecone.io/integrations/databricks)

Join developers from more than 20,000 organizations like [Gong](https://www.pinecone.io/customers/gong/), Notion, and [Shortwave](https://www.linkedin.com/events/ragbragwithandrewleeofshortwave7170841900315258880/comments/) and [start building on serverless for free](https://app.pinecone.io/). If you’re already using pod-based indexes, you can [migrate your data to serverless indexes for free](https://docs.pinecone.io/guides/indexes/migrate-a-pod-based-index-to-serverless).

## Secure your AI applications with Private Endpoints

Enterprise users can now easily [enable Private Endpoints](https://docs.pinecone.io/guides/operations/enable-aws-privatelink) for AWS PrivateLink. In addition to [encryption](https://docs.pinecone.io/reference/security#encryption-in-transit) at rest and in transit, Private Endpoints provides additional security by ensuring that your data traffic traverses the AWS network without public internet exposure.

[Video](https://www.youtube.com/watch?v=chLwP1Co67s)


Private Endpoints also reduces the risk of exposing your VPC resources to the Internet (or other outside networks) through a misconfiguration, and minimizes the risk of unauthorized access to your Pinecone indexes.

## SDK updates: Improved RAG management and ingestion speed

The Java client ([v1.2.0](https://github.com/pinecone-io/pinecone-java-client/releases/tag/v1.2.0)) now supports list record IDs [in a namespace](https://docs.pinecone.io/guides/data/list-record-ids#list-the-ids-of-all-records-in-a-namespace) and [with a common ID prefix](https://docs.pinecone.io/guides/data/list-record-ids#list-the-ids-of-records-with-a-common-prefix). ID prefixes enable you to query segments of content, which is especially useful for [managing RAG applications](https://docs.pinecone.io/docs/manage-rag-documents) where you often need to chunk large documents into smaller segments. This feature is also supported in the [Node Js](https://docs.pinecone.io/reference/pinecone-clients#node-js-client) (v2.1.0 and later) [Python](https://docs.pinecone.io/reference/pinecone-clients#python-client) client (v3.1.0 and later).

Our Python client ([v4.0.0](https://github.com/pinecone-io/pinecone-python-client/releases/tag/v4.0.0) and later) improves your vector upsert throughput by 3x. This is a breaking change if you use the optional GRPC addon ([installed with](https://github.com/pinecone-io/pinecone-python-client?tab=readme-ov-file#working-with-grpc-for-improved-performance) [pinecone-client[grpc]](https://github.com/pinecone-io/pinecone-python-client?tab=readme-ov-file#working-with-grpc-for-improved-performance)).

## Streamline development with Github Copilot and more integrations

We’re rapidly expanding our ecosystem to help you streamline your AI application development. You can now access the [Pinecone Copilot Extension](https://docs.pinecone.io/integrations/github-copilot) through our [GitHub Marketplace listing](https://github.com/marketplace/pinecone-ai) to get personalized recommendations. Get started now with [this demo](https://www.youtube.com/watch?v=EdOeXT34pMM).

Other new integrations you can use include data sources [Apify](https://docs.pinecone.io/integrations/apify), [Estuary](https://docs.pinecone.io/integrations/estuary), [Flowise](https://docs.pinecone.io/integrations/flowise), [Unstructured](https://docs.pinecone.io/integrations/unstructured), and [StreamNative](https://docs.pinecone.io/integrations/streamnative), frameworks like [Contex Data](https://docs.pinecone.io/integrations/context-data) and [OctoAI](https://docs.pinecone.io/integrations/octoai), models like [Jina AI](https://docs.pinecone.io/integrations/jina) and [Voyage AI](https://docs.pinecone.io/integrations/voyage), and observability tools such as [Traceloop](https://docs.pinecone.io/integrations/traceloop).

Check out the [release notes](https://docs.pinecone.io/release-notes/2024) for a running list of all product and feature releases. If you’re new to Pinecone, [try it out](https://app.pinecone.io/) for free today.