📢 Public Preview: Import from Azure Blob Storage Docs: https://docs.pinecone.io/guides/operations/integrations/integrate-with-azure-blob-storage Social Posts Twitter: https://x.com/pinecone/status/1956009289400684917 LinkedIn: https://www.linkedin.com/feed/update/urn:li:share:7361774650537750528/

📢 Ash Ashutosh joins Pinecone as our new CEO! 🌟 Ash brings 40 years of tech leadership and entrepreneurship to help drive Pinecone’s growth in the vector database space. Edo Liberty will take on the exciting role of Chief Scientist to advance our AI ambitions. We’re excited for this next chapter! Read more in our latest blog post: https://www.pinecone.io/blog/growing-ai-ambitions/ Social posts: - https://x.com/EdoLiberty/status/1965106836832497987 - https://www.linkedin.com/feed/update/urn:li:activity:7370864752559882240/

📢 Public preview: Multimodal context for Pinecone Assistant Pinecone Assistant now extracts insights from charts, graphs, and tables in PDFs, not just text. Get better-informed answers, reduce custom parsing, and accelerate your document-driven workflows. - Leverages Mistral OCR for advanced document parsing - Excels at reading text, charts, graphs, and tables in business documents - Distinguishes decorative from informative visuals and captures meaningful page context Docs: https://docs.pinecone.io/guides/assistant/multimodal

💻 We’re improving our CLI client — and we’d love your feedback! The Pinecone CLI tool has been around for a while, but we know it hasn’t gotten as much love as it deserves. We’re now working to make it more useful and developer-friendly, and we’d love your input. Check the latest release (0.1.0) and let us know what you think and need! You are also welcome to contribute - it's open source! - 🧑‍💻 GitHub: https://github.com/pinecone-io/cli/releases - 📘 Documentation: https://docs.pinecone.io/reference/cli/overview

ICYMI: Pinecone can now accommodate million-scale namespaces and beyond for specific use cases! If your application's architecture requires more than 100,000 namespaces, [contact our Support team](https://app.pinecone.io/organizations/-/settings/support/ticket) to see what we can do for ya ദ്ദി(˵ •̀ ᴗ - ˵ ) ✧

ALSO! We just published a new agentic quickstart that shows how to build Pinecone apps using AI coding agents like Claude Code and Cursor. Instead of copying code snippets, you work with an agent that implements best practices automatically. Covers search, RAG, and recommendation systems. Please try it and let us know what you think. Try it → https://docs.pinecone.io/guides/get-started/agentic-quickstart Feedback → https://share.hsforms.com/1roCbfhevRhKBOndYpA85pw4wfik

Just launched update, delete, and fetch by metadata in Pinecone. You can now do bulk operations using metadata filters instead of having to collect IDs first. Same filter syntax you already use in queries, just works for data management now. Delete is fully available, update is in public preview, fetch is in early access. Read the blog: https://www.pinecone.io/blog/update-delete-and-fetch-by-metadata/

New: Dedicated Read Nodes ⚡ Hi all 👋 As some of you might know, yesterday we launched Dedicated Read Nodes (DRN) in public preview. Wanted to share it here as well to continue to spread the news. What DRN is: - Reserved read capacity with isolated nodes on Pinecone's serverless service What DRN gives you: - Lower, more predictable cost: Hourly per-node pricing is significantly more cost-effective than per-request pricing for predictable workloads (e.g., sustained, high-QPS workloads) and makes spend easier to forecast. - Predictable low-latency and high throughput: Isolated read nodes and a warm data path (memory + local SSD) deliver consistent performance under heavy load. - Scale for your largest workloads: Built for billion-vector semantic search and high-QPS recommendation systems. Scaling is simple: add replicas to scale throughput; add shards to grow storage. We’re already seeing customers run billion-vector workloads at thousands of QPS with sub-30ms P50 latency using DRN. If you want to learn more about DRN: Read the launch blog post: https://www.pinecone.io/blog/dedicated-read-nodes Check out the DRN docs: https://docs.pinecone.io/guides/index-data/dedicated-read-nodes If you have any questions about DRN, let us know!

🚀 Pinecone Assistant now supports GPT-5! Check our docs to get started: https://docs.pinecone.io/release-notes/2025#pinecone-assistant-now-supports-gpt-5