惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

MyScale Blog
MyScale Blog
L
LINUX DO - 最新话题
云风的 BLOG
云风的 BLOG
Know Your Adversary
Know Your Adversary
小众软件
小众软件
C
CERT Recently Published Vulnerability Notes
V
V2EX
The Hacker News
The Hacker News
P
Palo Alto Networks Blog
D
DataBreaches.Net
C
Cyber Attacks, Cyber Crime and Cyber Security
Microsoft Azure Blog
Microsoft Azure Blog
GbyAI
GbyAI
AWS News Blog
AWS News Blog
Forbes - Security
Forbes - Security
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
J
Java Code Geeks
美团技术团队
C
Cybersecurity and Infrastructure Security Agency CISA
Project Zero
Project Zero
Recorded Future
Recorded Future
宝玉的分享
宝玉的分享
Hacker News - Newest:
Hacker News - Newest: "LLM"
L
LINUX DO - 热门话题
W
WeLiveSecurity
V
Visual Studio Blog
Schneier on Security
Schneier on Security
有赞技术团队
有赞技术团队
P
Proofpoint News Feed
aimingoo的专栏
aimingoo的专栏
V2EX - 技术
V2EX - 技术
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Microsoft Security Blog
Microsoft Security Blog
U
Unit 42
N
Netflix TechBlog - Medium
F
Fortinet All Blogs
博客园_首页
I
InfoQ
Spread Privacy
Spread Privacy
博客园 - 叶小钗
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
L
LangChain Blog
月光博客
月光博客
I
Intezer
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
A
Arctic Wolf
S
SegmentFault 最新的问题
www.infosecurity-magazine.com
www.infosecurity-magazine.com
T
The Exploit Database - CXSecurity.com
Google DeepMind News
Google DeepMind News

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 Raises $100M in Series B Funding to Provide Long-Term Memory for AI
2023-04-28 · via Pinecone

NEW YORK--(BUSINESS WIRE)--Pinecone, the vector database company providing long-term memory for AI, announced today it has raised $100M in Series B funding at a $750M valuation. The funding round was led by Andreessen Horowitz, with participation from ICONIQ Growth and previous investors Menlo Ventures and Wing Venture Capital.

Since introducing the vector database in 2021, Pinecone’s innovative technology and explosive growth have disrupted the $9B search infrastructure market and made Pinecone a critical component of the fast-growing $110B Generative AI market. Its vector database lets engineers work with data generated and consumed by Large Language Models (LLMs) and other AI models, making it an essential infrastructure technology for building commercial AI products that are scalable, reliable, and accurate.

“The new wave of AI-powered applications create, store, and search through a large number of vector embeddings, which are AI representations of data,” said Edo Liberty, Founder & CEO of Pinecone. “We created Pinecone and the vector database category as a whole to let all AI developers easily work with a scalable and cost efficient database for this workload.”

The rise of generative AI has made Pinecone an integral part of the software stack for AI applications. In Q1 2023, the company saw a tremendous explosion in paying customers — such as Gong and Zapier — across all industries and sizes.

“The rise of AI is driving a fundamental shift in the way companies approach data management. In a very short amount of time, Pinecone has become a standard and critical component of the modern AI stack,” said Peter Levine, General Partner at Andreessen Horowitz. “We're thrilled to be partnering with Edo, Bob, and the rest of the team at Pinecone to support their vision of becoming the memory layer for AI applications.”

Pinecone's success is a testament to the growing demand for AI infrastructure and the company's ability to provide scalable solutions to the most pressing challenges in the field. With its innovative product, efficient growth engine, and world-class team, Pinecone is well-positioned to lead the next wave of AI-powered innovation.

“We're thrilled to have Andreessen Horowitz lead this round and to have the continued support of our existing investors,” said Bob Wiederhold, President of Pinecone. “With this funding, we will capitalize on our hypergrowth amidst the AI revolution transforming every line of business and even creating new ones, from AI search to AI chatbots to AI agents and beyond.”

To learn more about Pinecone, please visit pinecone.io.

About Pinecone

Pinecone created the vector database, which acts as the long-term memory for AI models and is a core infrastructure component for AI-powered applications. The managed service lets engineers build fast and scalable applications that use embeddings from AI models, and get them into production quickly. Pinecone is backed by Andreessen Horowitz, Menlo Ventures, Wing Venture Capital, and others, and operates in San Francisco, New York, and Tel Aviv.

Media Contact

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