Earlier today, Columbia University University refused to let me onto campus. Why? Because they cannot protect my safety as a Jewish professor. This is 1938.

Pinecone serverless is now generally available. Build fast and accurate AI applications for mission-critical workloads at up to 50x lower cost. Since public preview, more than 20,000 companies already started building with Serverless. pinecone.io/blog/serverles…

The best vector db in the market is now battle tested by more than 20,000 organizations! Mission critical workloads? Let’s go!!

⚡ Rerank API Free Tier Over the past month we’ve made inference optimizations to expand access to rerank. - Free tier access: 500 req/month - Performance: up to 3x faster

🚀 Announcing llama-text-embed-v2 in Pinecone Inference An embedding model built on @meta Llama 3.2 1B matches or exceeds OpenAI's Large embedding retrieval quality with 10x lower p99 latency

We’re proud to announce that Pinecone has been named to Fast Company's annual list of the world’s most innovative companies of 2025! 🎉🎉🎉 As the only vector database to be honored, this recognition reflects the strides we're achieving toward our mission to make AI

Fun fact: Pinecone sustains 17k QPS on average 24/7…

💡 How Vanguard boosts customer support with fast, accurate vector search & RAG ⚡️ After testing pgvector, Faiss & Redis, Vanguard chose Pinecone for: ✅ Hybrid search (dense + sparse) ✅ Real-time updates for dynamic data ✅ Enterprise-grade security ✅ Flexible distance

Come build databases with hirad and me at Pinecone if this makes you giddy

🗽 NYC tech community, come learn how to build agentic AI applications with experts from #AWS, #Cohere, and Pinecone! 🤖 RSVP at: go.aws/4eed3IP Event Details: 📍 Amazon JFK14. 7 W 34th St., New York, NY 10001, USA 📅 Date: Monday, June 30 2:30-6:30 PM

💡If you thought Pinecone was just about dense retrieval, you're missing out! Obviant is delivering 30% more accurate defense acquisition recommendations by combining 𝘀𝗽𝗮𝗿𝘀𝗲 and dense retrieval (and using Pinecone's sparse embedding model). 📈 120M+ vectors ⚡ <50ms

When someone asks your Delphi a question, waiting kills the magic. Pinecone helps us keep it instant, retrieval in <100ms, even at 100M+ vectors. 🔗👇

Exciting news: I'm doubling down on knowledge research and AI products as Chief Scientist! ashashutosh is joining Pinecone as our new CEO! Here is what I posted on our blog just now: I'm thrilled to share that Ash Ashutosh is joining Pinecone as our new CEO! Ash is an