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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 to Speed Up Generative AI for Microsoft Azure an...
2023-07-14 · via Pinecone

Availability on Microsoft's cloud computing platform will facilitate safe and accurate Generative AI applications

NEW YORK, July 13, 2023 /PRNewswire/ -- Pinecone, the vector database company providing long-term memory for AI, today announced it will be available on Microsoft Azure. The announcement means Azure customers now use a vector database closer to their data and applications, and in turn provide fast, accurate, and secure Generative AI applications for their users.

The announcement was made as part of Pinecone's "AI Transformation Summit," a full-day event produced in collaboration with Microsoft.

The Pinecone vector database is a key component of the AI tech stack. It lets companies solve one of the biggest challenges in deploying Generative AI solutions — hallucinations — by allowing them to store, search, and find the most relevant and up-to-date information from company data and send that context to Large Language Models (LLMs) with every query. This ensures relevant, accurate, and fast responses from search or generative AI applications.

"We have seen a tremendous build-up of demand for our managed vector database from enterprises that require their infrastructure services to run on Microsoft Azure," said Edo Liberty, Founder & CEO of Pinecone. "Thanks to our collaboration with Microsoft, we are thrilled to finally unlock access to Pinecone for Azure customers."

The addition of Azure regions means Pinecone customers can now choose to run the managed service in all three major cloud providers.

"Demand for vector databases is growing alongside that of Generative AI, as companies rush to build safe and accurate AI applications connected to their own data," said John Montgomery, Corporate Vice President of Program Management, AI Platform at Microsoft. "That's why we're thrilled our customers can now run the Pinecone vector database in the Azure cloud, alongside Azure OpenAI Service and the rest of their AI workflows."

Azure regions in Pinecone will be available for private preview by July 31. Registrations for early access are open at https://www.pinecone.io/azure-preview/.

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 sooner. Pinecone recently raised $100M in Series B funding at a $750M valuation. The funding round was led by Andreessen Horowitz, with participation from ICONIQ Growth and previous investors Menlo Ventures and Wing Venture Capital. Pinecone operates in San Francisco, New York, and Tel Aviv.