'It costs about $200/month total to run and only 20% of my time was building the AI portions' - Hassan of Together AI shares design and tooling choices that made it simple to scale his POC to product-level usage overnight.

Watch the full video: hubs.ly/Q02wBj-c0

The new version of our Python client (v4.0.0) improves your vector upsert throughput 3x.
Check out the release notes for more details: hubs.ly/Q02w0LwH0

[status] Investigating: We are currently investigating the issue. stspg.io/q5gr86hycr8t?u…

This month, we continued expanding our serverless service and improving your experience building with Pinecone. Check out some of our product highlights: hubs.ly/Q02vLmvK0

chunking is a critical part of data prep in RAG (dare I say, the most important part?)

I just added two new code walkthroughs to the Pinecone RAG series:

1. overview of different chunking methods
2. deep dive into semantic chunking

pinecone.io/learn/series/r…

#GenAI …

End-to-end RAG tutorial by Santiago with Pinecone + LangChain

New AI + a16z podcast: Pinecone CEO @edoliberty chats with Satish Talluri and Derrick Harris about the opportunities for vector databases and retrieval augmented generation (RAG), and ML in 2024 vs in 2003. a16z.com/podcast/vector…

Pinecone now support HashiCorp Terraform so you can manage your Pinecone resources via infrastructure as code. Learn more and start building today hubs.ly/Q02v6nr10

Adding authentication and authorization to RAG apps is important in many enterprise scenarios - and beyond. Here's an approach to manage authorization at scale, using @Aserto_com, Clerk and @Pinecone.

hubs.ly/Q02t-BNZ0

Join our next RAG Brag episode on May 7th, with Mike Heap & Alex Rainey, founders of My AskAI, as they share how LLM and Pinecone help customer support teams save hours of reading, searching, and waiting with their own AI chatbots > hubs.ly/Q02tT38m0

Attending the #AWSSummit in London today? Pinecone was recently recognized as the top SaaS product on the AWS Marketplace (last month). Visit booth B12 to see how Pinecone serverless on AWS lets you deliver remarkable GenAI applications faster, & at up to 50x lower cost @AWScloud

Learn more from Gregg Tourville, Head of Product Design, Sixfold on how to deliver product 4X times faster and more efficiently with the help of Pinecone. - hubs.ly/Q02tJG0K0

The Global Control Plane API makes it even easier to build and scale with Pinecone, and is now generally available (GA) for all users.

Learn more about the engineering motivations and efforts behind the new API, and start building today!

hubs.ly/Q02tDSWh0

We're excited to be at the #AWSSummit in London this week!

Come visit us at booth B12 and see why Pinecone was the top SaaS product on the AWS Marketplace last month!

Don't miss out - we'll have demos, giveaways, and more! #Pinecone #VectorDatabase

You can now deploy serverless in the 'eu-west-1' (Ireland) region of AWS!

See our docs for other supported regions, and start building today: hubs.ly/Q02tk9Fr0.

Heading to the #AWSSummit in London? 🇬🇧 Don't miss Pinecone, the top SaaS product on the AWS Marketplace (last month) Learn how Pinecone serverless lets you deliver remarkable GenAI apps faster & up to 50x lower cost. #AWSSummit @AWScloud #VectorSearch

Introducing the serverless free plan: 3x more capacity makes it easier and faster to start experimenting with vector search and #RAG on Pinecone.

hubs.ly/Q02tfmjW0

In this deep dive on Pinecone vs. Postgres pgvector, we explore why you should evaluate quality before simplicity and ease of use, and the importance of investing in a purpose-built solution like Pinecone from the start.

Learn more: hubs.ly/Q02tdcns0.

The ability to extract valuable insights from text is key.

Learn how integrating OctoAI's GTE-Large embedding model with UnstructuredIO embedding functionality, and Pinecone vector database and Mistral AI, can enhance your data processing and RAG.

octo.ai/blog/superchar…

Build great AI applications with our newly launched production-ready Java SDK v1! The v1 of Java SDK makes your developer experience dramatically better (see the before and after comparison below). For more release details: hubs.ly/Q02sWnmj0