Knowledge catalogue
The official Pinecone plugin for @cursor_ai has been released! To install, run /add-plugin pinecone within Cursor. What you get: Agent Skills and scripts to help you build with our vector database and
Pinecone has introduced Nexus, a knowledge engine built specifically for AI agents. Instead of repeatedly searching documents with traditional RAG, Nexus compiles knowledge once from sources like data
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
Your coding agent doesn't need to leave the terminal to use Pinecone. We now ship official plugins and skills for the agentic IDEs and CLIs you are already building in: Claude Code, Cursor, GitHub Cop
This X Spaces broadcast from Pinecone invites developers to join a live discussion about building applications and solutions using Pinecone's vector database platform. The session likely covers use ca
Pinecone has updated its integration with Datadog to include expanded metrics and improved dashboards, enabling better monitoring and visualization of Pinecone vector database performance within the D
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 discus
Pinecone hosted a live broadcast on X (formerly Twitter) inviting developers to build applications using their vector database platform. The broadcast likely covered Pinecone's capabilities for AI and
A beginner-friendly guide to building a simple RAG (RETRIEVAL-AUGMENTED GENERATION) AI Agent with Pinecone + n8n 🧵 If you’re learning AI automation and you’re confused about Pinecone, knowledge bases,
Sign up if you're in LA! The last AI Agents Happy Hour was so fun, @jvedi and I are going to do it again. This time, co-hosted by @pinecone! We want to see what you're building and learn from your exp
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
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
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
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
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
🔴 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
@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
Pinecone has released Nexus, a new product in public preview designed to enable AI agents to access and leverage business knowledge more effectively. Nexus appears to be a solution that integrates wit
Recently @pinecone introduced Nexus – a new knowledge-engine layer for AI agents that reduces token use by up to 90%. It’s built on top of a vector database, but shifts reasoning earlier in the pipeli
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
Ralph Loops are powerful, but wrapping a naive loop in a shell script is a total token burner in production. Pinecone Principal Engineer Jen Hamon breaks down why standard loops collapse: ❌ The Bug: P
Pinecone has launched two new regional endpoints for its vector database service: AWS eu-central-1 in Germany and AWS ap-southeast-1 in Singapore. These new regions enable users in Europe and Southeas
Pinecone has launched its first serverless cloud region in Singapore and rolled out Nexus, KnowQL, a Marketplace and a USD $20 Builder tier. #CloudComputing #Singapore #Serverless #AI https://techday.
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
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
Most semantic search queries leave something unstated. The user knows what they mean. The system doesn't. Pinecone's text match filters scope a vector search to a lexical condition (a machine number,
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
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
Pinecone shared a GitHub repository called 'cultivar' and requested community feedback on the project. The post appears to be a call-for-comment on a new tool or resource developed by Pinecone, likely
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
Proud to have Pinecone Nexus be a part of this along with our friends at @LangChain, @tavilyai, and @guardrails_ai! Most #AIAgents don't fail because of the model. They fail because of the infrastruct
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,
Nebius AI announced the Agents Blueprint, a framework integrating multiple tools including LangChain Deep Agents, Tavily AI, Pinecone for vector storage, and Guardrails for building AI agents. This bl
Today at Microsoft Build: Pinecone Nexus now integrates with Microsoft OneLake. Your enterprise data, turned into task-scoped, governed, cited knowledge your agents can use directly. 95%+ token reduct
We just announced the integration of our knowledge engine, Pinecone Nexus, with @Microsoft OneLake at #MSBuild. Want to build a reliable, production-grade knowledge layer directly over your structured
95% token reduction. 30x faster execution. 90%+ task completion. Today at #MSBuild, we announced a major shift to move reasoning upstream: Pinecone Nexus now integrates directly with @Microsoft OneLak
built a bird search app to show off pinecone's full text search capabilities 2,079 bird articles, full-text keyword search, Gemini Embedding 2 for cross-modal visual search. the birds did not consent
This repository demonstrates a search application built using Pinecone's vector database, likely showcasing how to implement semantic search or similarity-based retrieval using bird-related data or im
$20/month. Builder: Pinecone's new plan for teams that have outgrown the free tier but aren't running production workloads at scale yet. The prototype-to-production gap has always been an awkward plac
Full text search is in Public Preview on Pinecone. Check out the bird search demo built by Senior Developer Advocate, Arjun Patel which indexes 2,000 Wikipedia bird articles in one index across four f
This post from Pinecone references a full demonstration video from Google DeepMind, likely showcasing a new AI model, research breakthrough, or technical capability developed by DeepMind. The video li
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 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
New from the LangSmith Signal: The vector space rapidly diversified since December. ✅ Managed cloud surged. MongoDB Atlas, Pinecone, + Qdrant tripled their combined share to 21%. ✅ Only 3 vector store
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
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
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)
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...
Building Agent Skills and testing them is hard, but it doesn't have to be. Listen to Arjun Patel demo Cultivar, an open source tool developed at Pinecone to help benchmark agent skills in sandboxes. T
Your AI chatbot is only as good as the data behind it. This n8n template from our friends at @apify shows you how to wire up a RAG pipeline using Apify + Pinecone + Gemini so your chatbot can answer q
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
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
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
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
You can’t build an autonomous agent on a static RAG pipeline. Because goals mutate dynamically, agents require an advanced knowledge infrastructure, rather than forcing the model to hunt through a raw