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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 Build more knowledgeable AI applications with new LLMs and greater control in Pinecone Assistant #NYTECHWEEK 2025 Retrieval-Augmented Generation (RAG) Accurate and Efficient Metadata Filtering in Pinecone’s Serverless Vector Database | Pinecone Terminal X AI Agents, Powered by Pinecone, Turn Complex Financial Data Into Production-grade Insights at Scale | Pinecone Aquant Delivers Scalable, Expert-level Service Intelligence with Pinecone | Pinecone Cascading retrieval with multi-vector representations: balancing efficiency and effectiveness Vector databases aren't just for large-scale enterprise AI Unveiling DIME: Reproducibility, Scalability, and Formal Analysis of Dimension Importance Estimation for Dense Retrieval | Pinecone Fast and Effective Early Termination for Simple Ranking Functions | Pinecone Domain-specific AI Agents at Scale: CustomGPT.ai Serves 10,000+ Customers with Pinecone | Pinecone Using Pinecone asynchronously with FastAPI A Flexible Resource for Top-Weighted Comparisons Between Sets and Rankings | Pinecone Build secure, scalable agentic AI workflows with Rubrik Annapurna and Pinecone Tool up: Pinecone’s first MCP servers are here Add context to your agent with Pinecone Assistant MCP remote server E2Rank: Efficient and Effective Layer-wise Reranking | Pinecone ColBERT-serve: Efficient Multi-Stage Memory-Mapped Scoring | Pinecone Efficient Constant-Space Multi-Vector Retrieval | Pinecone How Vanguard Worked with Pinecone to Boost Customer Support with Faster Calls and 12% More Accurate Responses | Pinecone Pinecone Named to Fast Company's Annual List of the World's Most Innovative Companies of 2025 Launch Week: Pinecone for agents, search, recommendations, and more Optimizing Pinecone for agents (and more) Retrieval Inference for scale and performance How 1up Turns Sales Reps Into Product Experts with Pinecone | Pinecone Don’t be dense: Launching sparse indexes in Pinecone Unlock High-Precision Keyword Search with pinecone-sparse-english-v0 Evolving Pinecone's architecture to meet the demands of Knowledgeable AI Pinpoint references faster with citation highlights in Pinecone Assistant Bringing the leading vector database to your cloud Getting started with llama-text-embed-v2 Natural Language Counterfactual Explanations for Graphs Using Large Language Models | Pinecone Easily build knowledgeable chat and agent-based applications in minutes with Pinecone Assistant, now generally available How to build an agentic, chat or RAG knowledge system using Pinecone Assistant Real-time RAG with Pinecone and Estuary Flow BigQuery to Pinecone in Real-Time with Estuary Flow Stravito Turns Market and Consumer Data Into Actionable Insights with Pinecone Inference | Pinecone Accelerate prototyping and development with Pinecone Local First-of-its-kind Pinecone Knowledge Platform to Power Best-in-class Retrieval for Customers Introducing integrated inference: Embed, rerank, and retrieve your data with a single API Strengthening security and increasing control with CMEK and API key roles Introducing Pinecone Rerank V0 Introducing cascading retrieval: Unifying dense and sparse with reranking From Idea to Action: How Pinecone Assistant Meaningfully Accelerates AI Business Building AI apps on Azure with Pinecone just got a lot easier Building a reliable, curated, and accurate RAG system with Cleanlab and Pinecone Four features of the Assistant API you aren't using - but should Deploying Pinecone with Infrastructure as Code (IaC) Streamlining CI/CD with Pinecone Local September 2024 Product Update Results of the Big ANN: NeurIPS'23 competition | Pinecone Introducing import from object storage for more efficient data transfer to Pinecone serverless Simplify, enhance, and evaluate RAG development with Pinecone Assistant, now in public preview Vectors and Graphs: Better Together August 2024 Product Update Pinecone Helps Deep Talk Deliver World-Class AI Assistants with Lower Engineering Overhead | Pinecone Assembled Delivers Better, Faster AI- Driven Support with Pinecone | Pinecone Llama 3.1 Agent using LangGraph and Ollama Build knowledgeable AI with Pinecone serverless, now generally available on Microsoft Azure Pinecone serverless is now generally available on Google Cloud, adding knowledge to AI assistants and other applications Accelerating Legal Discovery and Analysis with Pinecone and Voyage AI Bridging Dense and Sparse Maximum Inner Product Search | Pinecone Refine Retrieval Quality with Pinecone Rerank Introducing reranking to Pinecone Inference to simplify building accurate AI July 2024 Product Update Introducing Pinecone API Versioning RAG Brag with Inkeep Co-Founder Nick Gomez LangGraph and Research Agents Introducing Pinecone Inference to streamline your AI workflow Build Privacy-aware AI software using Pinecone
Connect to Pinecone within your platform to enable a seamless AI development experience
Xian Huang, Adam Heerwagen · 2024-07-24 · via Pinecone

Today, we’re announcing the general availability of Pinecone Connect. Pinecone Connect is an integration that allows developers to manage Pinecone resources directly from another platform via a simple authentication flow.

Pinecone partners including Twilio and Matillion are already using Pinecone Connect to streamline AI workflows for their users. If you also want to enable a better AI workflow for developers using your platform, you can easily set up the integration to our industry-leading vector database and start offering developers a frictionless experience building knowledgeable AI applications.

Connect your users to Pinecone

Simplify AI workflows with a frictionless experience

To build great AI applications, developers need to navigate the AI stack and utilize various tools, including data sources, model providers, and more. Without direct integrations for these tools, developers are forced to switch between multiple platforms. Leaving your workflow/UI for tasks in other environments wastes developers’ time.

Pinecone Connect offers a widget within your platform for developers to sign up or log in, choose or create an organization and project in Pinecone, and generate an API key instantly.

Developers can build with higher velocity utilizing our industry-leading vector database to ship more accurate and secure AI applications, in a unified experience directly from your platform. Those who are new to vector databases can easily import their data into Pinecone and begin their GenAI journey for free.

With the plug-and-play Pinecone Connect integration, you can enjoy direct access to Pinecone without worrying about managing any pass-through operational burdens. Developers own their accounts, we manage the infrastructure, and all you need to do as the platform provider is to set up the integration.

Connect to Pinecone

Connect to Pinecone

Industry leaders use Pinecone Connect to help users ship more accurate AI applications faster

Industry-leading companies are already leveraging Pinecone Connect to help users build remarkable AI applications and ship faster.

Twilio's Emerging Technology and Innovation Team uses Pinecone Connect for AI Assistants, their project to enable developers to build customer-aware autonomous agents. “Pinecone is the first stop for many developers as they explore the power of vector databases and RAG,” said Braden Becker, Head of Emerging Technology & Innovation at Twilio, “We are excited to partner with Pinecone so that developers can bring the data they've already collected to Twilio AI Assistants within seconds!”

Twilio AI Assistants + Pinecone Connect

Data productivity cloud Matillion uses Pinecone Connect for developers to execute vector upsert and query in Pinecone directly from their platform. “With Pinecone Connect, Matillion brings unparalleled simplicity to RAG with our no-code Pinecone integration and dropdown activation,” said Ed Thompson, CTO at Matillion, “Our users now get instant access to Pinecone on top of our 100+ business and database connectors and data transformation capabilities that ensure data is optimized for RAG, directly on our platform. Together, we create enterprise-grade AI pipelines for any GenAI use cases.”

Hassle-free integration with Pinecone

To enable Pinecone Connect, create a custom object or embed our pre-built widget, which provides the same functionality but with the ease of a drop-in component.

To start, create an integration ID for your app. If you’d like to build a custom object, the ConnectPopup function can be called with either the JavaScript library or script.

If you want to embed our pre-built widget, you can use:

  • JavaScript library (@pinecone-database/connect) or script: Renders the widget in apps and websites.
  • Colab (pinecone-notebooks): Renders the widget in Colab notebooks using Python.

JavaScript Example

import {connectToPinecone} from '@pinecone-database/connect'

const setupPinecone = (apiKey) => { /* Set up a Pinecone client using the API key */ }

connectToPinecone(
  setupPinecone,
  {
    integrationId: 'myApp',
    container: document.getElementById('connect-widget')
  }
)

Get started now

First, build your Pinecone Connect integration today to improve the developer experience and help your users more easily build knowledgeable AI applications.

Second, add attribution to monitor adoption and qualify for go-to-market partnership support.

If you’re interested in deeper collaboration with Pinecone to accelerate your go-to-market of AI solutions, become our partner.