Pinecone

📊 Developers, check out this webinar from our partner unstructured.io showcasing RAG evaluation with LLaMA3.2 using Pinecone and Ragas. Great stuff!

1️⃣ The AI revolution isn't a gravy train 2️⃣ The three P's of leadership: People, performance, and process Two major takeaways from our COO Lauren Nemeth in this informative interview with CAMERON HEROLD on his podcast, Second In Command. 👉 Dive deep into Lauren's unfiltered insights into leadership, AI, and building world-class teams. You won't regret it! #Leadership #AI #TechInnovation #CareerGrowth

Stravito helps large global enterprises unlock customer insights by simplifying how market research data is stored, discovered, and shared. Adding Pinecone Inference to their Assistant product helped them improve results with minimal engineering overhead. Read the full story here: https://lnkd.in/ePD3TBkY

Congratulations to our very own Antonio Mallia, Cesare Campagnano, and Jack Pertschuk – as well as their co-authors – on their accepted #ECIR2025 research papers! 🎉 They continue to push the state-of-the-art forward on information retrieval, and we as an industry are better for it! 📚 📜 Sean MacAvaney, Antonio Mallia and Nicola Tonellotto: “Efficient Constant-Space Multi-Vector Retrieval", 2025  📜 Kaili Huang, Thejas Venkatesh, Uma Dingankar, Antonio Mallia, Daniel Campos, Jian Jiao, Christopher Potts, Matei Zaharia, Kwabena Boahen, Omar Khattab, Saarthak Sarup and Keshav Santhanam: “ColBERT-serve: Efficient Multi-Stage Memory-Mapped Scoring”, 2025 📜 Cesare Campagnano, Antonio Mallia, Jack Pertschuk and Fabrizio Silvestri: “E2Rank: Efficient and Effective Layer-wise Reranking”, 2025

Build Production-Ready ETL Pipelines for RAG in 10 Minutes with Unstructured!   Join us next Wednesday, December 18th for a hands-on technical webinar with Unstructured’s engineers, showing you how to leverage Platform with Ragas to quickly build pipelines and evaluate accuracy using the latest Llama 3.2. We will transform data in an Amazon Web Services (AWS) S3 bucket to a Pinecone vector database using no code!   Sign up today at https://lnkd.in/gCRtmz6e

Join us Tuesday, December 17, for an introductory workshop on Cascading Retrieval — an enhanced retrieval path that seamlessly combines dense, sparse, and reranking for unparalleled precision, performance, and ease of use. Gareth Jones and Antonio Mallia will guide you through this approach, share key insights from our benchmarks, and conclude with a live demo. Sign up now! https://lnkd.in/gRBT9i-V

Pinecone powerhouse 🏳️🌈 Corbett Waddingham engages the crowd in SF last night at GitHub for "SF Awesome AI Dev Tools", with talks from Comet, Pinecone, and Komodo AI Cory is a powerhouse expert on all that Pinecone has to offer, and appears at our events all across the country. If he comes through your town, don't miss the opportunity to learn about what you can do with Pinecone

What a week indeed! Thanks for the detailed recap, Ari

🚀 Launch Week Day 5: Introducing Pinecone Local We’re wrapping up Launch Week with a new feature designed to accelerate your prototyping and development workflows with Pinecone. Introducing Pinecone Local — a self-hosted, in-memory emulator of the vector database, now available in public preview for all users! Here’s how Pinecone Local makes your life easier: ✅ Spin up and tear down indexes in memory for quick tests and iteration ✅ Use any supported SDK to interact with the Pinecone API — no API key required ✅ Run large-scale tests on your own data without incurring usage costs ✅ Develop your app locally — no internet connection needed Check out our announcement to learn more and try it out today! https://lnkd.in/ePyU3v_e

The Pinecone team enjoyed a packed booth at AWS re:Invent. Connecting to our community -- brainstorming in 1:1s with team members, guiding awareness, and showcasing ways Pinecone helps build better is what we came for. Between our recent events and Launch Week, inspiration and energy are at an all-time high