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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
Former Snowflake CEO Bob Muglia and Couchbase CEO Bob Wie...
Edo Liberty · 2021-12-20 · via Pinecone

I’m excited to announce that two former CEOs are joining Pinecone as investors and advisors. Bob Muglia, former CEO of Snowflake, and Bob Wiederhold, former CEO of Couchbase, are working closely with me to help Pinecone become the leader in search infrastructure.

Complex data, including unstructured text documents, call and video transcripts, customer histories, images, and audio, is growing. Companies need to search through this data for their search, personalization, and security applications. Yet they struggle to do so because they are stuck with tooling and infrastructure that was designed for more simple, structured text data.

Our customers and companies like them are increasingly using ML models to transform complex data into vector embeddings. Vector embeddings are representations of complex data that enable searching through that data by similarity and semantic meaning. Existing databases can’t support vector search at scale. While a handful of hyperscalers have already implemented this technology, most companies don’t have the time or resources to build and maintain the necessary infrastructure. Pinecone has built a vector database that makes it easy for everyone to leverage this state-of-the-art method of searching through complex data.

As the former CEO of data warehousing giant, Snowflake, Bob Muglia led the company to five years of unprecedented growth and raised hundreds of millions in funding. Prior to Snowflake, he served as one of four Division Presidents at Microsoft, managing more than 20% of the company’s revenue including server products and cloud services.

From Bob Muglia:

“Complex data such as images and video are a potential goldmine of business insight. People can intuitively understand the contents of an image but until the advent of advanced analytics and machine learning, these contents have been opaque to business systems. That has now changed but this requires a new kind of infrastructure that intersects databases and AI. Pinecone is an innovator and early mover in this space. I believe what they are building is cutting edge today but will become a well-understood standard in this decade.”

Bob Wiederhold

Bob Wiederhold has more than 25 years of high tech experience, having previously served as CEO of Couchbase, a leader in NoSQL databases, and then its Executive Chairman. From 2002 to 2009, Bob was Chairman and CEO of Transitive, the worldwide leader in cross-platform virtualization with over 20M users, where during his tenure the company was acquired by IBM. Until 2001, Bob served as CEO of Tality Corporation, the worldwide leader in electronic design services whose revenues grew to over $200M.

From Bob Wiederhold:

“Hyperscalers such as Google, Microsoft, Facebook, and Amazon invested years in incorporating vector databases and vector search into their applications. They are already seeing improved business outcomes. The majority of the tech world has either not realized it yet or is struggling to catch up. I’m excited to work with Pinecone on bringing this technology to companies who may lack the time, capital, or bandwidth to build such infrastructures in house.”

Join Us at Pinecone

Bob Wiederhold and Bob Muglia are among the best people in the world to help us scale Pinecone. Their experiences in building great companies map almost exactly to the journey ahead of us. They have already made a huge impact on Pinecone and will undoubtedly continue to do so.

If you want to help us grow Pinecone into the next great innovator of database technology, check out our open roles. We are hiring in several areas including Engineering, Customer Success, Sales, and Product Management. Experience firsthand why the best minds in tech think Pinecone will be the next big thing in data. Come be a part of it.