Pinecone

Aquant delivers expert-level service intelligence at enterprise scale with Pinecone. Aquant’s AI platform supports service teams across industries—from diagnosing complex machinery issues to improving customer experiences. But scaling real-time, domain-specific retrieval required a new foundation. With Pinecone, Aquant achieved: • 98% retrieval accuracy • 48% increase in weekly question volume • 49% reduction in time-to-resolution • 19% lower cost per service case By powering fast, reliable semantic search with Pinecone, Aquant delivers real-time, context-aware intelligence that improves outcomes for both service teams and their customers. Read the full case study 👉 https://lnkd.in/gazdJSzg

First BJJ x Pinecone event done for #SFTechWeek. A lot of good conversations about vector databases and implementing AI systems. If you missed this one and plan to be in LA for #LATechWeek, come by our 2nd BJJ event at Meraki Jiu Jitsu. Sign up: https://lnkd.in/gft39fAr

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 very own Gemini CLI extension that connects your AI coding assistants directly to Pinecone via the MCP Server, so they can search docs, configure indexes, and test data seamlessly. Explore Gemini CLI’s growing ecosystem and give our extension a try. Read the announcement → https://lnkd.in/gzYKREmd

🥋 Join us for Grappling with Vector Databases at #LATechWeek Only 1 week away! No gi BJJ + a 15-min Pinecone demo on building AI agents. First 50 attendees get a custom Pinecone rashguard. 📅 Tue, Oct 14, 8:00am-10:00am PT 📍 Meraki Jiu Jitsu RSVP: https://lnkd.in/gFuy6uyh TECH WEEK by a16z

We're starting a series of Tech Talks! For our first, join our Founder & Chief Scientist, Edo Liberty, for a deep dive into vector search algorithms — why they’re hard, and how approaches like HNSW, PQ, and IVF compare. 🗓️ Thursday, Oct 23 in New York City. ⏰ 5:30pm - 8:30pm 🔗 Reserve your spot: https://lnkd.in/gHfm4cRt

🎙️ Our Staff Developer Advocate, Jenna Pederson, joined the Adventures in DevOps podcast to break down how developers are building smarter AI applications with vector databases. One key insight from the conversation: LLMs have limitations, especially with domain-specific language. The most accurate retrieval systems combine: 🔎 Semantic (dense) search — for understanding meaning and intent 🔑 Lexical (sparse) search — for precise keyword matching This hybrid approach ensures your AI can find the right information whether users search by concept or by exact terminology. 📢 If you're building with RAG, embeddings, or LLMs, this conversation is worth your time. Link in comments 👇

Discover insights from Arjun Patel, Senior Developer Advocate at Pinecone. - Learn effective prompt engineering strategies. - Unlock the power of Retrieval-Augmented Generation (RAG) for better AI performance. - Explore real-world applications for your projects. 🔗 Read more here: https://lnkd.in/gQpW3t5A

Terminal X transformed their retrieval system with Pinecone's vector search, and the results are impressive: - F1 scores skyrocketed from 0.68 to 0.91 (93% precision!) - Query response times reduced by 35% - Development speed doubled - Seamlessly handles over 20 million documents - Achieves just 51.7ms median query latency Their serverless RAG setup powers a 24/7 financial intelligence hub for navigating SEC filings, broker research, and real-time data. Take a look at our case study here: https://lnkd.in/g6iDmYQu

🥋 Join us for Grappling with Vector Databases at #SFTechWeek Tomorrow! RSVP now: https://lnkd.in/gSXhUXb8 Train no gi Brazilian jiu jitsu and learn how to build AI agents with Pinecone in a 15-min demo. First 50 attendees get a custom Pinecone rashguard. 📅 Tue, Oct 7, 10:00am-12:00pm PT 📍 Empire Jiu Jitsu TECH WEEK by a16z