Pinecone

Pinecone Nexus is in Public Preview. A knowledge engine that compiles untapped, distributed enterprise data into a layer agents query directly. Answers get faster, cheaper, and more accurate. Read more: pinecone.io/blog/pinecone-…

Pinecone's text match filters narrow the candidate pool with a lexical constraint before the vector search runs, so you get the right context without pre-labeling your dataset for every dimension a query might need. Read how it works, with a real example: pinecone.io/blog/text-matc… pinecone.io/blog/text-matc…

@btaylor We see you, @btaylor @SierraPlatform! 😀

We wrote up how we've AI-pilled Sierra. The centerpiece is an AI agent named Pinecone that the whole company uses for everything from business analysis to writing code. Pinecone now generates 70% of our PRs and automates hundreds of tasks every day to quietly handle work no one explicitly prompted. sierra.ai/blog/ai-pillin…

Sparse index posting data: BM25 exact matches, SPLADE transformer-expanded matches. Storage layout just changed from document-range blocks to term blocks. A query now loads only the blocks for the terms it contains. BM25: 715ms to 6ms. SPLADE: 3.4s to 128ms. Recall unchanged. pinecone.io/blog/sparse-v3/

New test data pipeline for Pinecone: CC News dataset, chunked, embedded with BAAI/bge-large-en-v1.5 (1024-dim), landed as Parquet. Past a few million vectors, embedding inline bottlenecks the pipeline. Split it instead: Parquet without vectors, embed offline, then bulk import. 🔗 pinecone.io/blog/generatin…

We're hosting the LA Agentic AI Meetup this Thursday, July 9, 5 to 7pm at Gulp in Playa Vista. Come talk to engineers, founders, and builders working across RAG, agentic workflows, and the broader AI stack. New this time: two live demos. Michael Campbell, PhD, is showing an agentic job-search system, and Andre Calloway-Cazares is demoing Fresh House, a Carfax-style condition record for homes. RSVP: luma.com/pinecone-cqho

Pinecone releases Nexus into public preview to bring business knowledge to AI agents ift.tt/4e6Ukbo

Come build with Pinecone x.com/i/broadcasts/1…

Jeff Zhu (VP of Product) and Jasmeet Singh Gujral (Principal PM) join @jennapederson and Arjun Patel on the livestream today to talk about what we've shipped and what's coming. Then we get into the usual mix: live builds, industry takes, chat Q&A. Join us right here @pinecone. 🗓 TODAY, July 1 - 1pm ET / 10am PT

Our Founder and Chief Scientist @EdoLiberty just kicked off the Search & Retrieval track @aiDotEngineer. "Agents don't need to be smarter. They need a Knowledge Layer." We've got a big update on this coming tomorrow...

Take a look at the repo below, and let us know what you think! github.com/pinecone-io/cu…

Building Agent Skills is great, but testing them clearly and across agents is difficult. The Pinecone DevRel team has released Cultivar, a CLI tool and agent skill designed to solve this problem. With Cultivar, you can: - design a skill - write up programmatic, and LLM-grader-like tests for skills to pass - run it across different agents across multiple sandboxed containers using @modal or locally - evaluate the traces and generated code, to iterate further Install Cultivar using uv: uv tool install cultivar

ZoomInfo rebuilt contact discovery as real-time recommendation, now running on Pinecone DRN: 50x peak requests, 2x recall, 50% more engagement. Join engineers from Pinecone and ZoomInof as they discuss the path from POC to production. June 24, 9AM PT. luma.com/pinecone-e6ie

ZoomInfo recommends the right contacts the moment you open a company profile. Thousands of requests per second, under a second end-to-end. With Pinecone: 50x more peak requests, 2x relevancy and recall, 50% more engagement. Technical walkthrough on Dedicated Read Nodes, June 24, 9 AM PT: luma.com/pinecone-e6ie

Builder plan now supports serverless indexes in every generally available region across AWS, GCP, and Azure. Previously limited to AWS us-east-1. Same regions as Standard and Enterprise: us-west-2, eu-west-1, eu-central-1, ap-southeast-1, us-central1, europe-west4, eastus2, and more. Lower latency, data residency options, still $20/month flat with no usage overages. See the release note: #2026-06-03" target="_blank" rel="nofollow noopener">docs.pinecone.io/release-notes/…

🎙️New Breaktime Tech Talks! Talked with @RoieSchwabco from @pinecone about why your AI agents are burning excess tokens, and what to do about it. Also: naive RAG, "Franken answers," and building low-code AI apps. 🎧 pod.fo/e/42f0c4 #btt #RAG #Pinecone

Pinecone + @PulumiCorp: an evening of talks on how AI systems get built and run under the hood. The infra behind vector search and RAG, IaC done right, and an AI running coach that lives in Slack and merges messy real-world data into context the model can use. Demos, Q&A, hangout after. Thu June 18, 5 PM, NYC: luma.com/pinecone-m9my

Proud to have Pinecone Nexus be a part of this along with our friends at @LangChain, @tavilyai, and @guardrails_ai!

Most AI agents reset every session. @JenovaAIAgent's don't. Longest session on their platform: 16M tokens. All of it retrievable in <10ms via Pinecone vector retrieval. Result: Fast ramp to $1M+ ARR, 200K+ users, 10x revenue in 5 months. Nearly all organic. "For an agent platform, the quality of the knowledge layer determines whether users stay or leave. Pinecone is what lets us store everything a user has ever worked on and retrieve exactly the right piece of it in milliseconds. That's the foundation our entire product is built on." — @boriswang01, Founder Knowledge is the moat. Case study: pinecone.io/customers/jeno…

Managed SaaS needs vendor access security review won't approve. Self-hosted hands your team a vector database to run. Pinecone BYOC runs the data plane inside your own AWS, GCP, or Azure account. Zero vendor access. Vectors stay in your VPC. 60-min session, June 17, 9 AM PT: luma.com/j61zhbux