Search: “pinecone--x”

Builder tier. $20/month, flat. Pricing should match the stage of building, not just the scale of it. For the stretch when free feels tight but you're not yet at usage-based scale. 10 indexes, 1,000 na

Stop token maxxing 🛑 Our CEO @ashashutosh sat down with @a16z General Partner Peter Levine to discuss why we’re moving beyond the vector database: '85% of an agent’s work isn't the model; it's the und

A preview of Pinecone Nexus, a data retrieval engine available through an early access program, uses the declarative KnowQL language to improve accuracy while reducing token consumption by up to 90%.

Pinecone hosted a Launch Week livestream event to showcase new product features, updates, or announcements related to their vector database platform. The livestream was broadcasted on X (formerly Twit

Pinecone Marketplace, live today. Until now, building an internal app that answers questions over a company's own docs, contracts, tickets, and wikis meant months of retrieval pipeline work: embedding

Agents are now the primary consumers of knowledge infrastructure. Tomorrow @jennapederson, Arjun Patel, and @RoieSchwabco are going live here to talk about what that means for your stack, share this w

Congratulations to @ashashutosh, @EdoLiberty, and the @pinecone team on the launch of Nexus, a knowledge engine for agents. They’ve spent years building at the core of AI infrastructure, and Nexus ref

Excited to partner with @pinecone! Introducing Pinecone Nexus. A knowledge engine for agents. The bottleneck for production agents isn't the model. It's the per-query work of searching, stitching, par

Introducing Pinecone Nexus. A knowledge engine for agents. The bottleneck for production agents isn't the model. It's the per-query work of searching, stitching, parsing tables, normalizing labels. Ne

Pinecone shared information about where users can watch their live content, directing viewers to alternative platforms including their YouTube channel (@pinecone-io/live) and LinkedIn profile. This ap

Box announced its participation in Pinecone's Nexus launch, emphasizing that enterprise AI agents require contextual access to organizational data and content. The partnership highlights the integrati

LangChain announced a partnership with Pinecone, a vector database platform, to integrate vector search capabilities with LangChain's framework for building applications with large language models. Th

The RAG era is ending for agentic AI — a new compilation-stage knowledge layer is what comes next http://venturebeat.com/ai/the-rag-era-is-ending-for-agentic-ai-a-new-compilation-stage-knowledge-layer

We’re excited to be part of the @pinecone Nexus launch! For AI agents to actually work in the enterprise, they need context from the content organizations rely on every day. Box and Pinecone Nexus mak

What happens when the primary users of AI aren't humans, but agents? This week: A new language, new engine, new marketplace, new economics, and new reach. The agentic era needs its own infrastructure

A million-token context window is not a strategy. 🛑 Our Head of DevRel, @RoieSchwabco , explains why dumping data is killing your RAG performance: 📍 One needle in a haystack? Easy. 📍 Multiple needles?

Pinecone announced a launch week event featuring new product updates and features for their vector database platform. The event likely showcased innovations in AI infrastructure, vector search capabil

Pinecone announced an upcoming product launch scheduled for the week of May 4th, with the teaser 'Something's coming.' The post was shared on X (formerly Twitter) but specific details about what produ

Your search is failing because it's looking at words, not meaning. 🛑 Will Templeton, CTO and co-founder at Allspice, explains the 'Synonym Trap': ❌ User says 'Boston Butt' ❌ DB says 'Pork Shoulder' ❌

Building AI in New York? Pinecone + The Gen Academy are hosting a meetup in NYC. Panel on real-world AI systems. Raffle. Food. Engineers actually shipping things. No pitch decks. No fluff. High signal

Confidently wrong is worse than just wrong. When an AI searches one giant knowledge base for everything, it finds something—and serves it up like it's the answer. That's not a model problem. That's a

Don't burn tokens on search. 📉🔥 Will Templeton, CTO and co-founder at Allspice, explains why they don't let LLMs search their 10,000+ ingredient database: ❌ Searching 10k items in a prompt = waste of

Pinecone hosted a live broadcast event on X (formerly Twitter) inviting developers to build applications using their vector database platform. The stream likely covered Pinecone's capabilities, use ca

File upsert is now live in Pinecone Assistant. Create or replace files by a custom ID you define — no UUID tracking. Upload, upsert, and delete return a pollable operation object. List and describe fi

The 'bridge of authority' in RAG: ❌ LLMs can reason about 'blue skies' or 'purple skies' with the same authority. ✅ Vector DBs let you peer into the metadata to find the source/author. 'Do you trust a

🔴 We're going live tomorrow for another Come Build with Pinecone session! Join us to build, break, and learn together. Each session, we pick up a real project — building RAG pipelines, wiring up agent

Pinecone is promoting live streaming content available on their YouTube channel (@pinecone-io/live) and a LinkedIn event, likely featuring product updates, technical demonstrations, or community engag

Building AI in the Bay Area? Pinecone + The Gen Academy are hosting a meetup at Menlo Ventures. Panel on real-world AI systems. Raffle. Food. Engineers actually shipping things. No pitch decks. No flu

in 1996 mitzenmacher showed that sampling two backends and picking the better one drops max load exponentially vs. random selection one extra comparison. that's the whole trick we built pinecone assis

Million of recipes. Fuzzy ingredient data. One afternoon to solve it. 🍳⚡ Will Templeton, CTO and co-founder at Allspice, explains why Pinecone is their fundamental building block: ❌ No weeks of cluste

@ZoomInfo and @pinecone Deliver Real-Time AI Contact Recommendations for Go-to-Market Teams Read More: https://martech360.com/news/stack-platforms/zoominfo-and-pinecone-deliver-real-time-ai-contact-re

390M+ embeddings. 100K+ namespaces. Sustained P50 latency of ~60ms at ~40 QPS. 📈 @ZoomInfo used our Dedicated Read Nodes, now in GA, to bypass the 'infrastructure wall' and ship real-time AI recommend

Dedicated Read Nodes are now generally available. Predictable performance at scale. Up to 97% lower costs on real production workloads. Fixed hourly pricing. No read rate limits. Always-hot data on de

Pinecone has announced the general availability (GA) of Dedicated Read Nodes, a feature designed to improve query performance and scalability for vector database workloads. Dedicated Read Nodes allow

Pinecone has made available a Dedicated Read Nodes (DRN) option for its managed vector database service that provides IT teams with more granular control and predictable performance for mission-critic

proud of this launch from a strong team. dedicated hardware for high throughput, low cost search building for the new era of recommenders and agents Dedicated Read Nodes are now generally available. P

Your AI isn't failing because of 'bad chunking.' 🛑 It’s failing because of a vibe mentality. Our Head of DevRel @RoieSchwabco explains why anecdotal testing is the #1 roadblock for AI devs: ✅ Determin

Pinecone now has a native extension for Gemini CLI. gemini extensions install https://github.com/pinecone-io/gemini-cli-extension → 9 MCP tools → 7 skills (quickstart, query, assistant, RAG and more)

Stop trusting LLMs just because they're useful. 🛑 Our Head of DevRel @RoieSchwabco breaks down the two essential parts of a reliable AI stack: ⚙️ Reasoning: What the LLM does (logic/synthesis/formatti

I was unable to retrieve the specific content from the Pinecone Gemini CLI documentation page (`https://docs.pinecone.io/integrations/gemini-cli`) or the linked X (Twitter) post, as neither was ret...