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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 Announcing Pinecone Pioneers: A Program for Builders, Organizers, and Community Leaders 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 #NYTECHWEEK 2025 Retrieval-Augmented Generation (RAG) Accurate and Efficient Metadata Filtering in Pinecone’s Serverless Vector Database | Pinecone Terminal X AI Agents, Powered by Pinecone, Turn Complex Financial Data Into Production-grade Insights at Scale | Pinecone Aquant Delivers Scalable, Expert-level Service Intelligence with Pinecone | Pinecone Cascading retrieval with multi-vector representations: balancing efficiency and effectiveness Vector databases aren't just for large-scale enterprise AI Unveiling DIME: Reproducibility, Scalability, and Formal Analysis of Dimension Importance Estimation for Dense Retrieval | Pinecone Fast and Effective Early Termination for Simple Ranking Functions | Pinecone Domain-specific AI Agents at Scale: CustomGPT.ai Serves 10,000+ Customers with Pinecone | Pinecone Using Pinecone asynchronously with FastAPI A Flexible Resource for Top-Weighted Comparisons Between Sets and Rankings | Pinecone Build secure, scalable agentic AI workflows with Rubrik Annapurna and Pinecone Tool up: Pinecone’s first MCP servers are here Add context to your agent with Pinecone Assistant MCP remote server E2Rank: Efficient and Effective Layer-wise Reranking | Pinecone ColBERT-serve: Efficient Multi-Stage Memory-Mapped Scoring | Pinecone Efficient Constant-Space Multi-Vector Retrieval | Pinecone How Vanguard Worked with Pinecone to Boost Customer Support with Faster Calls and 12% More Accurate Responses | Pinecone Pinecone Named to Fast Company's Annual List of the World's Most Innovative Companies of 2025 Launch Week: Pinecone for agents, search, recommendations, and more Optimizing Pinecone for agents (and more) Retrieval Inference for scale and performance How 1up Turns Sales Reps Into Product Experts with Pinecone | Pinecone Don’t be dense: Launching sparse indexes in Pinecone Unlock High-Precision Keyword Search with pinecone-sparse-english-v0 Evolving Pinecone's architecture to meet the demands of Knowledgeable AI Pinpoint references faster with citation highlights in Pinecone Assistant Bringing the leading vector database to your cloud Getting started with llama-text-embed-v2 Natural Language Counterfactual Explanations for Graphs Using Large Language Models | Pinecone Easily build knowledgeable chat and agent-based applications in minutes with Pinecone Assistant, now generally available How to build an agentic, chat or RAG knowledge system using Pinecone Assistant Real-time RAG with Pinecone and Estuary Flow BigQuery to Pinecone in Real-Time with Estuary Flow Stravito Turns Market and Consumer Data Into Actionable Insights with Pinecone Inference | Pinecone Accelerate prototyping and development with Pinecone Local First-of-its-kind Pinecone Knowledge Platform to Power Best-in-class Retrieval for Customers Introducing integrated inference: Embed, rerank, and retrieve your data with a single API Strengthening security and increasing control with CMEK and API key roles Introducing Pinecone Rerank V0 Introducing cascading retrieval: Unifying dense and sparse with reranking From Idea to Action: How Pinecone Assistant Meaningfully Accelerates AI Business Building AI apps on Azure with Pinecone just got a lot easier Building a reliable, curated, and accurate RAG system with Cleanlab and Pinecone Four features of the Assistant API you aren't using - but should Deploying Pinecone with Infrastructure as Code (IaC) Streamlining CI/CD with Pinecone Local September 2024 Product Update Results of the Big ANN: NeurIPS'23 competition | Pinecone Introducing import from object storage for more efficient data transfer to Pinecone serverless Simplify, enhance, and evaluate RAG development with Pinecone Assistant, now in public preview Vectors and Graphs: Better Together August 2024 Product Update Pinecone Helps Deep Talk Deliver World-Class AI Assistants with Lower Engineering Overhead | Pinecone Assembled Delivers Better, Faster AI- Driven Support with Pinecone | Pinecone Llama 3.1 Agent using LangGraph and Ollama Build knowledgeable AI with Pinecone serverless, now generally available on Microsoft Azure Pinecone serverless is now generally available on Google Cloud, adding knowledge to AI assistants and other applications Accelerating Legal Discovery and Analysis with Pinecone and Voyage AI Bridging Dense and Sparse Maximum Inner Product Search | Pinecone Refine Retrieval Quality with Pinecone Rerank Introducing reranking to Pinecone Inference to simplify building accurate AI July 2024 Product Update Connect to Pinecone within your platform to enable a seamless AI development experience Introducing Pinecone API Versioning RAG Brag with Inkeep Co-Founder Nick Gomez LangGraph and Research Agents Introducing Pinecone Inference to streamline your AI workflow
Pinecone Grows with Tech Leaders Lauren Nemeth as New COO and Bob Muglia as Fifth Board Member
2024-06-04 · via Pinecone

High-profile additions to Pinecone leadership team mark next phase of expansion for knowledge AI market front runner

NEW YORK, June 3, 2024 /PRNewswire/ -- Pinecone, the leading vector database company making knowledgeable AI, today announced that well-known and proven tech leaders Lauren Nemeth and Bob Muglia join the company as chief operating officer (COO) and board member, respectively. This comes as Pinecone celebrates its five-year anniversary and the recent general availability of its flagship offering, Pinecone serverless, a state-of-the-art vector database designed to make generative artificial intelligence (AI) accurate, fast, and scalable.

As the demand for generative AI has rapidly grown across organizations of all sizes and industries, so has the need to deliver more accurate and reliable applications. Pinecone research shows that the most effective method to improve the quality of generative AI results and reduce hallucinations is by using a vector database for retrieval-augmented generation (RAG). Gartner® predicts that "by 2026, more than 30% of enterprises will have adopted vector databases, which is a significant increase from fewer than 2% today" and "more than 70% of generative AI natural language processing (NLP) use cases for questions and answers, will leverage vector databases to 'ground' the AI foundation models."1

The addition of Lauren Nemeth as Pinecone COO will catalyze the company's mission to build and bring knowledgeable AI to organizations around the world. Lauren brings over twenty years of experience building world-class developer- and enterprise-led sales motions from pre-revenue to public companies such as Twilio, AppNexus, and Google. In her role as Chief Operating Officer for Pinecone, Lauren now leads the Sales, Field Engineering, Marketing, Growth, and Partnership functions globally. Lauren most recently served as the Chief Revenue Officer at Twilio where she led all go-to-market functions globally, directly managing a team of two thousand employees and generating over $4B in revenue.

"I have spent the majority of my career helping developers and enterprise companies innovate," said Nemeth. "Pinecone is already the leading vector database but there are still so many companies we can help build truly innovative generative AI experiences. I look forward to working closely with our customers, prospects, and partners to deliver meaningful business impact and improved customer experiences."

Bob Muglia is no stranger to Pinecone in his capacity as an investor and advisor. He now joins as a member of the board alongside Peter Levine, Andreessen Horowitz; Ilan Stern, 166 2nd; Tim Tully, Menlo Ventures; and Peter Wagner, Wing Venture. A seasoned technology investor and business executive, Bob is a former CEO of Snowflake and past president of Microsoft's Server and Tools Division. As an author and a leader, Bob focuses on how innovation and ethical values can merge to shape the Data Economy's future in the era of AI.

"I have witnessed Pinecone mature up close and believe now, more than ever, in its future as a pivotal player in the AI ecosystem," said Muglia. "As an industry, we have barely scratched the surface of what generative AI has to offer. Pinecone is delivering state-of-the-art capabilities that enable companies to deliver the safest and most accurate AI possible. I'm thrilled to join the Board and expand my role at Pinecone."

Founded in 2019 by Edo Liberty, a former research director at AWS and head of Amazon AI labs, Pinecone has over 5,000 customers spanning the globe. The company is headquartered in New York City and has offices in Tel Aviv, Manchester, and San Francisco where Nemeth and Muglia are based.

"It's a real testament to the importance of Pinecone's mission that Lauren and Bob joined the team," said Edo Liberty, founder and CEO of Pinecone. "Their track record of success speaks for itself. I am delighted to have people of their caliber and integrity around the table. They will help us grow and accelerate our journey to make knowledgeable AI."

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

About Pinecone

Pinecone created the vector database to help engineers build and scale remarkable AI applications. Vector databases have become a core component of GenAI applications, and Pinecone is the market-leading solution with over 5,000 customers of all types and sizes across all industries. Pinecone has raised $138M in funding from leading investors Andreessen Horowitz, ICONIQ Growth, Menlo Ventures, and Wing Venture Capital, and operates in New York, San Francisco, and Tel Aviv.

1 Gartner, Innovation Insight: Vector Databases, Arun Chandrasekaran, Radu Miclaus, 4 September 2023