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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
Pinecone now available on AWS Marketplace and GCP Marketp...
2023-02-07 · via Pinecone

SAN FRANCISCO, Feb. 6, 2023 /PRNewswire/ -- Pinecone Systems Inc., a machine learning (ML) infrastructure company, today announced that it is now available on the Amazon Web Services (AWS) Marketplace, as well as the Google Cloud Platform (GCP) Marketplace, allowing AWS and GCP users to quickly and easily build advanced artificial intelligence (AI) applications using Pinecone's leading vector database.

The announcement comes as Pinecone has seen tremendous growth in recent months as machine learning models such as GPT-3 have become more widely used. Pinecone provides critical infrastructure to use these models in useful and meaningful ways, including more accurate text and image generation, chatbots, cybersecurity threat detection and more.

AWS and GCP users can now start building immediately with Pinecone, skipping pre-approval steps, including licensing and pre-configuration. Purchasing Pinecone through the marketplaces will also allow users to consolidate their spending, billing and payments, all of which will be handled directly through AWS and GCP.

"Demand for Pinecone continues to grow tremendously as more developers build applications on top of AI models and see vector databases as a critical component for scaling those applications. Making Pinecone available on the AWS Marketplace and the GCP Marketplace makes it more accessible and easier to get started than ever," said Edo Liberty, Founder and CEO of Pinecone.

For more information about Pinecone on AWS Marketplace: https://www.pinecone.io/learn/pinecone-aws-marketplace/

For more information about Pinecone on GCP Marketplace: https://www.pinecone.io/learn/pinecone-gcp-marketplace/

About Pinecone
Pinecone has built the first vector database to make it easy for developers to add vector search into production applications. It combines state-of-the-art vector search libraries, advanced features such as filtering, and distributed infrastructure to provide high performance and reliability at any scale. Pinecone is backed by Menlo Ventures and Wing Venture Capital and operates in San Francisco, New York and Tel Aviv. For more information, see http://www.pinecone.io.

Pinecone media contact:
Mike Sefanov
mike.s@pinecone.io
Sr. Director, Communications