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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
July 2024 Product Update
Xian Huang · 2024-08-01 · via Pinecone

This month we expanded Pinecone serverless to Google Cloud Platform (GCP) and Microsoft Azure, launched Pinecone Inference, and introduced API versioning. Learn more below and in our monthly release notes.

Pinecone serverless is now available on Azure and GCP

Pinecone serverless is now available in public preview on Azure and GCP. During the public preview period, serverless indexes on Azure and GCP are limited to Standard and Enterprise users. Serverless indexes on AWS are generally available (GA) to all users.

Over 20,000 organizations, including Notion, Gong, and New Relic, have already started building on Pinecone serverless. Get started in minutes using one of our sample notebooks.

Start for free with Pinecone Inference API to streamline AI workflow

Build knowledgeable AI applications faster, with less complexity and fewer tools to manage with Pinecone Inference. Now in public preview, Pinecone Inference is an API that provides easy and low-latency access to embedding and reranking models hosted on Pinecone’s infrastructure, starting with multilingual-e5-large.

Explore our interactive model gallery and start building with Inference for free today.

API versions for stable development and SDK updates to prevent data loss

We’re adopting a date-based versioning approach with quarterly releases. This allows us to introduce incremental small changes to minimize interruptions and gives you the ability to plan and manage updates more effectively.

The latest releases for our Python SDK (v5.0.0), Node.js SDK (v3.0.0), and Java SDK (v2.0.0) add the ability to prevent accidental index deletion. You can now easily enable deletion protection for both new and existing indexes from the console, APIs, and SDKs to reduce the risk of accidental data loss.

Note that the latest release of our Java SDK (v2.0.0) introduces a breaking change. Learn more about how to update your client in the Java SDK v2.0.0 migration guide.

Build a multimodal search app in minutes with our new sample app

Our sample apps allow you to get end-to-end applications up and running in minutes. Use one npx command line npx create-pinecone-app to clone and set up the project locally and then tailor it to your own purposes. Check out our latest multimodal search sample app and jumpstart the development of your own application.

Multimodal search sample app

Use Pinecone Connect to access Pinecone from another platform

Pinecone Connect, an integration that allows developers to manage Pinecone resources directly from another platform via a simple authentication flow, is generally available. Tech platforms looking to provide direct access to the Pinecone can easily set up the Pinecone Connect integration.

Check out the release notes for a running list of all product and feature releases. If you’re new to Pinecone, try it out for free today.