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Pinecone

Pinecone Assistant: A Managed Knowledge Layer for Production AI Applications Multi-domain RAG in n8n: why one knowledge base is not enough Allspice Transforms the Culinary Experience with Semantic Search Powered by Pinecone | Pinecone Building RAG workflows in n8n: choosing the right Pinecone node Knowledge needs a meta-knowledge layer Garbage Day: How Pinecone Safely Deletes Billions of Objects at Scale When "Performance" Means Two Different Things Pinecone BYOC: Pinecone in your AWS, GCP, or Azure account, no vendor access True, Relevant, and Wrong: The Applicability Problem in RAG Use the Pinecone Plugin for Claude Code to develop AI Applications Faster Millions at Stake: How Melange's High-Recall Retrieval Prevents Litigation Collapse Powering High-stakes Patent Search at Scale: How Melange Built a Reliable AI System on Pinecone | Pinecone Pinecone Assistant Node in n8n: Turn Any Data Source Into Knowledge RAG with Access Control Pinecone Dedicated Read Nodes are now in Public Preview Inside Pinecone: Slab Architecture New Bulk Data Operations: Update, Delete, and Fetch by Metadata The Hidden Cost of Building: Lessons from Aquant Simplifying Vector Embeddings with Pinecone Integrated Inference Capabilities Pinecone joins Microsoft Marketplace as a Launch Partner GTM Engineering: Clay + Pinecone for AI-powered Sales Outbound Build an AI knowledge assistant with Google Docs and Pinecone Moving Pinecone forward with Ash Ashutosh as CEO and Edo spearheading our growing AI ambitions as Chief Scientist Pinecone Founder Edo Liberty to Spearhead Pinecone’s Growing AI Ambitions; Appoints Ash Ashutosh as CEO to Expand Vector Database Market Leadership Fast, Accurate Retrieval for Creators at Scale: Delphi’s Path Toward a Million Conversational Agents with Pinecone | Pinecone What is Context Engineering? Chunking Strategies for LLM Applications Beyond the hype: Why RAG remains essential for modern AI Obviant Makes 30% More Accurate Defense Acquisition Recommendations Combining Sparse and Dense Retrieval with Pinecone | Pinecone Build more knowledgeable AI applications with new LLMs and greater control in Pinecone Assistant
Announcing Pinecone Pioneers: A Program for Builders, Org...
Jocelyn Matthews · 2025-08-07 · via Pinecone


AI is evolving fast—and so is the way people build and share what they know. We’ve seen developers in the Pinecone community doing a lot more than ship code. They’re writing tutorials, hosting meetups, helping others get unstuck, and creating content other developers refer to.

We want to support that work. So we’ve launched the Pinecone Pioneers program.

Pinecone Pioneers is our way of recognizing and supporting the people who push the boundaries of making AI knowledgeable —those working on agentic AI, search, personalized assistants, and everything in between. The goal is to elevate their work, open up opportunities for collaboration, and give back in meaningful ways.

This first cohort includes people from all over the world, working across startups, research, and enterprise.

  • Daniel Morris – NLP engineer and solutions architect specializing in RAG systems at enterprise scale.
  • Tomo Kanazawa – Creator of OneNode, an open-source multi-modal semantic search framework.
  • Joseph Petty – DevRel lead at Appsmith; founder of Greenflux; former nuclear plant operator.
  • Kaya Jones – CS grad and founder of Forever22, building AI tools for business workflows.
  • Mark Evans – Founder of Proving Ground, helping engineers build AI-native startups.
  • Kalan Peace – Bridging fashion and tech to create personalized, AI-powered experiences.
  • Shubham Pawar – LLM researcher at Qloo focused on personalization and cultural AI.
  • Mark Kashef – CEO of Prompt Advisers, educator, and practical AI content creator on YouTube.

You’ll be seeing more of them soon—in blog posts, on stage, and online.

Over the next weeks, we’ll be highlighting their work in:

  • Webinars and demos
  • Technical deep dives
  • Local meetups
  • Twitter/X and LinkedIn features

We’re just getting started, and the program will continue to grow throughout 2025.

About the Pinecone Pioneers program

What it is

This program recognizes people who are already out there doing the work—building with Pinecone, teaching others, sharing what they’ve learned, and helping the broader AI ecosystem move forward.

It’s not a promotional campaign or a perk club. It’s a simple way to back the people who are showing up and contributing meaningfully.

What Pioneers get

🧭 Early product roadmap — Be the first to know what’s shipping and where we’re headed
📣 Amplification — We’ll help more people see what you’re doing
💬 Direct access to the team — Feedback goes both ways
🎟️ Support for talks and events — We’ll help you get there, whether that’s a conference or a meetup
🧵 Private space for Pioneers — A quieter place to share ideas

Who it’s for

We’re looking for people who are actively building and sharing. That could mean:

  • Devs shipping demos, tools, or integrations
  • Educators writing technical posts or tutorials
  • Organizers running events or community conversations
  • Engineers putting vector search into production
  • Or anyone else contributing in a meaningful way

You don’t need a huge following. Just a clear point of view and a willingness to share.

How to join

If that sounds like you—or like someone you know—we’d love to hear from you.
👉 Apply here