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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 and Datadog collaborate to deliver enterprise-gr...
2023-08-04 · via Pinecone

NEW YORK, Aug. 3, 2023 /PRNewswire/ -- Pinecone, the vector database company providing long-term memory for AI, today announced an integration with Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications. Responding to exploding demand from enterprise organizations, the announcement means developers now have access to enterprise-grade observability and monitoring capabilities that allow them to build and maintain high-performance GenAI applications more quickly. The addition of Datadog to Pinecone's rapidly growing ecosystem of partners and integrations further extends Pinecone's leadership in developer experience.

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.

"The new Datadog integration provides transparency and actionable insights to help developers build better search and Generative AI applications in the enterprise," said Edo Liberty, Founder & CEO of Pinecone. "Part of a great experience includes seamless integration with existing monitoring solutions, complete with ready-made dashboards."

"Datadog's integration with Pinecone will provide users valuable insights into Pinecone usage, latency, and costs all in a single place with out-of-box dashboards," said Yrieix Garnier, VP of Product at Datadog. "This empowers organizations to deploy AI applications to production with confidence and enable them to focus on their core priorities — enhancing day-to-day operations and driving innovation in their products and services."

The integration is available immediately. To begin using the integration, existing Datadog customers will create and copy an API key in Pinecone and add the required information to their Datadog account. Users not already on Datadog can sign up and get started with a free trial. Users not already on Pinecone can sign up for free.

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.