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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 is now available on the AWS Marketplace
Gibbs Cullen · 2023-02-06 · via Pinecone

We recently announced Pinecone’s availability on the Google Cloud Platform (GCP) marketplace. Today, we are excited to announce that we are now also available on the Amazon Web Services (AWS) Marketplace. This allows AWS customers to start building AI applications on top of the Pinecone vector database within a few clicks.

The AWS Marketplace provides an extensive catalog of software solutions for users to easily explore, test, buy, and deploy on AWS. If you’re an AWS customer, here’s what this means for you:

  • Reduced procurement time: AWS takes care of licensing and pre-configuration of Pinecone so you can skip the pre-approvals and start building immediately.
  • Consolidated spend and billing: Purchase Pinecone through the marketplace to easily add to existing spend and meet committed spend levels faster. AWS will handle billing and payments so you can view all of your AWS spend in one place.

Read our integration guide and visit the Marketplace listing to get started.

FAQs:

Q: Which plans and pricing are available through the AWS Marketplace?

A: We currently support Standard and Enterprise plans. The Starter (free) plan is not available. Learn more on our pricing page.

Q: Can I change plans while being billed through the AWS Marketplace?

A: Yes, you can still upgrade and downgrade plans through the billing page in the Pinecone console.

Q: Where will I see how much I’m being charged for Pinecone?

A: All billing through marketplaces will be charged through your cloud provider. Check the billing console from your cloud provider.