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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
Start now, then take your time: Removing the Pinecone wai...
Gibbs Cullen · 2023-07-12 · via Pinecone

In April, we implemented a waitlist for new free plan users due to extreme levels in demand. Since then, we’ve worked hard to continue opening up our free plan so more developers have access to explore and build with Pinecone. For example, we’ve added support by adjusting index capacity, made free indexes available after upgrading, and simplified index creation by removing pod type from the configuration. Yet the signup waitlist and policy of archiving inactive indexes remained while we continued work on making Pinecone infrastructure even more efficient.

Over the coming weeks, we will be opening up instant sign ups for all users, and allowing new users to keep their free indexes indefinitely. No more waitlist, no more auto-archiving of inactive indexes.

This is made possible with a new, more efficient Pinecone architecture running in a new free region called `gcp-starter`. This region will replace `us-west1-gcp-free` as the default region for new free users. Projects on paid plans are not affected, and users can still create a maximum of one project in a free region.

In addition to the above changes, indexes in the `gcp-starter` region will be created within seconds so you can start accepting writes immediately. No more waiting several minutes for resources to be provisioned.

We are also making index creation and management even simpler for new users by removing some of the complex and rarely used features from free indexes, such as namespaces, collections, and delete by metadata. See the documentation for more information on these changes including suggested workarounds, then get started with Pinecone today.