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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
New usage insights to plan, test, and grow with confidence
Gibbs Cullen · 2023-02-14 · via Pinecone

Your engineering team is working on new ways to apply AI for the good of the company and your customers. New use cases means new projects and more engineers interacting with the Pinecone vector database. As the team lead, you want to enable your team to continue innovating on new use cases without breaking the bank.

With new usage dashboards, you can now easily view usage and spend for your entire team — all without leaving the console. Knowledge is power, and the usage dashboard gives you the power to:

  • Monitor usage over time: With better visibility, you stay in control of cost. Quickly visualize and track changes to predict usage for the future. Breakdown usage further with filters for timespan, projects, and services.
  • Expand usage with confidence: Start new projects, add team members, and experiment more freely knowing you have the insights needed to measure the cost impact and prevent unexpected spikes.

Access to these dashboards is currently limited to Organization Admins, who can view total usage and average daily usage across all projects within an Organization.

Navigate to “Usage” within the “Organization” tab. From there, you can view total cost and usage over different time periods, and filter by pod type or project.

Usage dashboards are now available for Standard, Enterprise, and Enterprise Dedicated accounts. Check out our documentation to learn more.