Pinecone

"The thing that underpins emerging AI is actually search" -- Our CTO Ram Sriharsha on Dev Interrupted with Andrew Zigler Watch or listen to the full podcast, recorded at ELC Annual 2025. Links 👇

An AI agent is only as powerful as the tools it can access. That's why we're building in Gemini CLI's open ecosystem and launching our Gemini CLI extension that connects your AI coding assistants directly to Pinecone via MCP Server. Now your AI can: ‣ Search Pinecone docs ‣ Configure indexes ‣ Test data seamlessly Check out the video by Staff Engineer Jakey Fowler showing how to use Gemini CLI to interact with Pinecone 🎥

🎙️ Our Founder and Chief Scientist, Edo Liberty, joined the Tech Talks Daily podcast with Neil C. Hughes to discuss the infrastructure powering real-world AI applications. Some highlights from the conversation: 🔍Why more context isn't always better: Edo reveals research showing that providing too much context to LLMs actually degrades performance. Even adding irrelevant information alongside the right data can make results worse, not better. ⚡The architecture challenge: How do you design systems that handle both cold storage for rarely-accessed data AND burst workloads when agents need 500 queries per second? Edo breaks down our approach to balancing performance, scale, and cost. 🧠 Making AI truly knowledgeable: Vector databases aren't just storage; they're the missing infrastructure that lets models access the right context at the right time. This is one of Edo’s best discussions. Listen to the whole conversation: https://lnkd.in/gxDkrPkP

🔍 Diving into the world of Context Engineering! Join us on Oct 23 for an exclusive Chicago QA event hosted by Forever22, Pinecone, and TeamWorking by TechNexus featuring expert insights from our own Arjun Patel, moderated by Kaya J.. See live demos, network with fellow AI builders, and unlock practical strategies you can implement right away! Register now: https://luma.com/swbmmm8u Don't miss this opportunity to shape the future of AI applications with the Chicago tech community!

Skip the complexity of managing embedding models. Our new article by breaks down Pinecone Integrated Inference, including a real customer case that revealed a critical lesson about metadata and scale. Learn how to: ✦ Streamline embedding generation and storage into one API call ✦ Avoid metadata payload issues that break at scale ✦Choose between Integrated Inference and self-managed approaches ✦Perfect for teams building RAG systems, semantic search, or any embedding-driven application. Read more: https://lnkd.in/gx2KftsM

Build powerful AI agents with Gemini CLI extensions. Integrate with partners like Pinecone, Elastic, Neo4j, HashiCorp, MongoDB, GitLab, and more directly from your terminal. Develop agentic workflows to automate MLOps tasks, manage data pipelines, and streamline the entire process of building with generative AI. Learn more → https://goo.gle/4mSymCs

📢 Founders in AI: What does it really take? Join us Oct 22 at South Beach Yacht Club in San Fransisco to hear from 3 co-founders (Sam Spelsberg at Delphi, Daniel Heinen at Graylark, and Nick Scavone at Seam AI) on building products, proving ROI, evolving architectures & more. 👀 Lessons, challenges, and what they wish they knew. 🎤 RSVP: https://luma.com/8id00vth

🚀 Automate your AI workflows in minutes with Pinecone + Zapier Ever wish you could automatically process files and feed them straight into an AI assistant? Wish granted. In this short Loom, I walk through how to: 📂 Monitor a Google Drive folder for new files 🧠 Send those files to Pinecone Assistant for processing 📝 Generate a summary of each file 📧 Email that summary to yourself Of course, emailing summaries is just the start — you could just as easily trigger automated ticketing, invoicing, or even draft grant proposals. 🎥 Watch the demo here: https://lnkd.in/gM927kih Let me know what you’d build with it 👇