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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 Connect to Pinecone within your platform to enable a seamless AI development experience Introducing Pinecone API Versioning RAG Brag with Inkeep Co-Founder Nick Gomez LangGraph and Research Agents Introducing Pinecone Inference to streamline your AI workflow
Pinecone Launches First Serverless Region in Asia with New Singapore Cloud Region, Bringing the Knowledge Infrastructure for AI to the Asia-Pacific Market
2026-05-05 · via Pinecone

Alongside new availability on AWS ap-southeast-1, Pinecone announces Nexus knowledge engine, KnowQL query language, Marketplace, Builder tier, and native full-text search

SINGAPORE, May 5, 2026 /PRNewswire/Pinecone, the knowledge infrastructure for AI at scale, today announced the launch of its first serverless region in Asia with the AWS Asia Pacific (Singapore) Region (ap-southeast-1), bringing its full serverless vector database and knowledge infrastructure to the Asia-Pacific market. The new region enables organizations across Southeast Asia, Australia, and the broader Asia-Pacific to run AI workloads with low-latency performance and local data residency.

The Singapore region launch coincides with a series of major product announcements from Pinecone, including the introduction of Pinecone Nexus, a knowledge engine for AI agents; KnowQL, a declarative query language for agentic retrieval; the Pinecone Marketplace with more than 90 production-ready knowledge applications; a new Builder tier at $20 per month; native full-text search in the core Pinecone database; and Dedicated Read Nodes for high-throughput, low-latency production workloads delivering up to 97% cost reduction at scale.

“The best knowledge infrastructure should be accessible to every builder, in every region,” said Ash Ashutosh, CEO of Pinecone. “Launching our first serverless region in Asia marks a significant milestone for Pinecone. Organizations across the Asia-Pacific now have access to the same infrastructure that more than 9,000 customers worldwide rely on — with the data residency, low latency, and proximity that enterprises in the region require. Combined with today’s launches of Nexus, KnowQL, Marketplace, and our new Builder tier, we are delivering the most comprehensive knowledge infrastructure for AI at a scale and price point that removes every barrier to building.”

Pinecone Nexus: The Knowledge Engine for Agents

As AI shifts from assistive applications to autonomous agents, the demands on knowledge infrastructure are changing fundamentally. Roughly 85% of an agent’s effort today is spent on context retrieval, resulting in task completion rates of just 50–60%, unpredictable completion times, and runaway token costs. Pinecone Nexus addresses this by moving reasoning upstream, from retrieval to knowledge compilation. Its context compiler transforms raw data into task-optimized artifacts that agents consume directly, while its composable retriever serves those artifacts with low latency, per-field citations, and deterministic conflict resolution. Early results show up to 90% reduction in token usage, task completion rates above 90%, and 30x faster time-to-completion.

At the core of Nexus is KnowQL, a declarative query language that gives agents a universal interface for knowledge access, replacing custom tool definitions and bespoke glue code with a single call that specifies output format, citation requirements, and latency budgets, and returns trusted, structured, grounded knowledge.

Pinecone Marketplace

The Pinecone Marketplace is a catalog of fully working, production-ready knowledge applications that users can deploy, customize, and run immediately. It launches with more than 90 production-ready solutions across sales and revenue, insurance, real estate, legal and compliance, people and HR, customer support, and more categories. Built by Pinecone and partners, these applications require no infrastructure assembly. The Marketplace is free at launch, with partner-built commercial solutions coming soon.

New Pricing and Infrastructure Updates

Pinecone’s new Builder tier provides full access to its production-grade infrastructure for $20 per month and free support. Dedicated Read Nodes offer provisioned read capacity with warm data paths and fixed hourly pricing, delivering 77–97% cost reduction at scale for sustained high-throughput workloads. Bring Your Own Cloud (BYOC) deploys Pinecone fully managed within a customer’s own cloud environment for organizations with data residency or regulatory requirements. Additionally, Pinecone has integrated native full-text search into its core database, now in public preview, enabling hybrid retrieval that combines semantic breadth with exact-match precision for agent-scale query volume.

The Singapore region is available now. It is Pinecone’s first serverless region in Asia, joining existing serverless regions on AWS in the United States and Europe, with additional regions planned.

Get started here. For more detailed information on today’s announcements, dive into the blog.

About Pinecone

Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io.

Media Contact:

Mike Sefanov
mike.s@pinecone.io
Sr. Director, Communications