Pinecone

In case you missed these upgrades to the Standard plan: • Single Sign-On (SSO): Now included for all users! Say goodbye to complicated logins. • Increased Namespace Limit: Boosted to 100K per index—up from 25K! Scale your operations effortlessly. These changes improve operational flexibility and efficiency.

𝗔𝗻𝗻𝗼𝘂𝗻𝗰𝗶𝗻𝗴 𝗕𝘂𝗹𝗸 𝗗𝗮𝘁𝗮 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗯𝘆 𝗠𝗲𝘁𝗮𝗱𝗮𝘁𝗮 𝗶𝗻 𝗣𝗶𝗻𝗲𝗰𝗼𝗻𝗲 Today, we're launching three new bulk operations that let you work directly with metadata filters. No ID collection required. What's New: ‣ Update by Metadata ‣ Delete by Metadata ‣ Fetch by Metadata No new syntax to learn: if you're using metadata filters in queries, you're ready to use these operations. Delete by metadata is generally available now. Update by metadata is in public preview, and fetch by metadata is in early access. Read the full announcement and documentation: https://lnkd.in/gXCbGHrB

CustomGPT.ai is democratizing Retrieval-Augmented Generation (RAG). By combining Pinecone’s production-ready vector database with its no-code SaaS platform, CustomGPT.ai empowers 10,000+ customers to build domain-specific GPTs for: ‣ Employee training ‣ Helpdesk automation ‣ Content generation ‣ Knowledge management With Pinecone, they achieved: ☆ 400M+ vectors stored ☆ <20ms latency ☆ 99.95% uptime ☆ #1 in RAG accuracy Read how Pinecone helps CustomGPT.ai scale RAG-as-a-Service without compromise 🔗 https://lnkd.in/gdkV8xxz

Happening now: Our Founder and Chief Scientist, Edo Liberty, on stage at TechCrunch Disrupt with Senior Reporter Rebecca Szkutak. 🔥 Fireside discussion: 🧠 What's needed most right now to unlock AI? Knowledge and infrastructure purpose-built for AI.  🔍 What use case will we see advance the most because of this? Search. Yep, old school search. 📖 Read how Pinecone's latest infrastructure architecture powers accurate and performant AI search (and agents and recommenders) at scale: https://lnkd.in/evAtesxS

💡 The real question isn’t “build or buy.” It’s: What’s the cost of building? In our latest article, we uncover the hidden cost of building AI infrastructure yourself: ⏰ 6–12 months in development before users see value 👩💻 1+ full-time engineer just to maintain it (≈$200K/year) ⌛ Lost time building infrastructure instead of improving the product 🤕 And the biggest risk of all: success — because that’s when the system starts to break This isn’t just Aquant’s story. It’s the reality for every team moving from AI prototype to production. 🔗 Read: https://lnkd.in/gW7Ti3cZ

Introducing: Agentic Quickstart for Pinecone ‼️ Build vector search, RAG, and recommendation systems using AI coding agents instead of manual code snippets. Work with Claude Code or Cursor to: ✅ Implement best practices automatically ✅ Build faster with conversational workflows ✅ Focus on logic, not boilerplate Try it: https://lnkd.in/gGXDaszR

Catch the n8n Community Livestream this Thursday! Our Staff Developer Advocate Jenna Pederson will demo a new n8n template with Pinecone Assistant for super easy and effective RAG. See below for details and to register 👇 and let us know in advance if you have any questions!

What happens when you combine AI assistants with coffee? 𝐇𝐞𝐚𝐭𝐞𝐝 𝐏𝐢𝐧𝐞𝐜𝐨𝐧𝐞 𝐦𝐮𝐠! 𝐓𝐇𝐀𝐍𝐊𝐒 Pinecone! Last month for our local Code & Coffee meetup, I led a workshop on building AI assistants with Pinecone’s REST API and Python SDK. I’m a member of Pinecone’s Pioneers, a program that recognizes builders and educators in their community, and this is one of the awesome ways they show their support! Thank you Jocelyn Z. Matthews, Aaron Kao, Jenna Pederson, Arjun Patel and the rest of the Pinecone team! If you’re building with Pinecone and want to get more involved in the community, check out the Pinecone Pioneers! https://lnkd.in/eREhYXw5

Importing from Google Cloud Storage to Pinecone is a game-changer! ◦ Enjoy streamlined development—just set it and forget it. ◦ Iterate faster with production-scale data. ◦ Save up to 6x on costs compared to traditional methods! Learn more 🔗 https://lnkd.in/gBxPY5QF