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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
Amid Massive Growth in 2022, Pinecone names Bob Wiederhold as President & COO
2023-03-01 · via Pinecone

Former Couchbase CEO joins the company after 15 months as an active advisor and board member

NEW YORK, Feb. 28, 2023 /PRNewswire/ -- Pinecone, the vector database company providing long-term memory for AI, today announced significant growth in 2022 and that former Couchbase CEO and Executive Chairman Bob Wiederhold has joined as President and COO after 15 months as an active advisor and board member.

Pinecone provides a vector database that acts as the long-term memory for AI applications. It is used by developers alongside AI models — including GPT from OpenAI and other Large Language Models (LLM) — to build accurate and scalable AI applications. Such applications include semantic search and chatbots, product search and recommendations, cybersecurity threat detection, and more.

In its first year of general availability, Pinecone saw surging demand for its vector database — a product category it created — and significant adoption from developers who came to view Pinecone as the obvious choice for a production-grade vector database. By the end of 2022:

  • Many thousands of developers started building on Pinecone's free Starter plan.
  • More than 200 paying customers chose Pinecone to enable their large-scale AI applications. Customers include leading companies such as Workday, Xandr (Microsoft), Gong, Course Hero, BambooHR, Expel, and Zapier.
  • Pinecone reached millions of dollars in annual recurring revenue (ARR) as new customers went into production and existing customers grew their usage to include other use cases within their organizations.

Amidst this growth — which has accelerated further since the start of 2023 — Bob Wiederhold has joined Pinecone full time. Wiederhold began working closely with Pinecone as an advisor in October 2021, joined the Board in March 2022, and played an increasingly active role at the company for the past year.

"Bob is the best strategist and company operator I have ever worked with, and he just happens to share my passion for deep and transformative technologies," said Edo Liberty, Founder and CEO of Pinecone. "To maintain and even accelerate our breakneck growth, we need to be just as ambitious and innovative with our business as we are with our technology. Over the past 15 months I've come to know Bob as one of the very few people in the world who can help us do that."

"I have been blown away by the technology Pinecone is delivering and the strength of its Product-Led Growth motion," said Wiederhold. "There is incredibly rapid growth across all business metrics, from market awareness to developer adoption to paying customers using Pinecone in mission-critical applications. I am ecstatic to join such an elite company operating in such a critical and growing market."

Wiederhold has been in a CEO role at high-tech companies for most of the past 30 years. Prior to his time at Couchbase, Wiederhold was Chairman and CEO of Transitive, the worldwide leader in cross-platform virtualization with over 20M users, which was acquired by IBM. Before that, he served as CEO of Tality Corporation, the worldwide leader in electronic design services, whose revenues grew to over $200M during his time there.

About Pinecone

Pinecone created the vector database, which acts as the long-term memory for AI models and is a core infrastructure component for AI-powered applications. The managed service lets engineers build fast and scalable applications that use embeddings from AI models, and get them into production quickly. Pinecone is backed by Menlo Ventures, Wing Venture Capital, and others, and operates in San Francisco, New York, and Tel Aviv.