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

H
Heimdal Security Blog
P
Privacy International News Feed
S
Schneier on Security
P
Proofpoint News Feed
L
Lohrmann on Cybersecurity
Spread Privacy
Spread Privacy
P
Privacy & Cybersecurity Law Blog
D
Darknet – Hacking Tools, Hacker News & Cyber Security
Scott Helme
Scott Helme
K
Kaspersky official blog
大猫的无限游戏
大猫的无限游戏
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
aimingoo的专栏
aimingoo的专栏
Simon Willison's Weblog
Simon Willison's Weblog
S
Securelist
Help Net Security
Help Net Security
B
Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
Security Archives - TechRepublic
Security Archives - TechRepublic
云风的 BLOG
云风的 BLOG
The GitHub Blog
The GitHub Blog
N
News and Events Feed by Topic
Hacker News: Ask HN
Hacker News: Ask HN
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
M
MIT News - Artificial intelligence
雷峰网
雷峰网
博客园 - 司徒正美
V
V2EX
AWS News Blog
AWS News Blog
Know Your Adversary
Know Your Adversary
N
News | PayPal Newsroom
T
Tor Project blog
Cisco Talos Blog
Cisco Talos Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
PCI Perspectives
PCI Perspectives
Google DeepMind News
Google DeepMind News
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
U
Unit 42
C
Cybersecurity and Infrastructure Security Agency CISA
P
Palo Alto Networks Blog
G
Google Developers Blog
T
Threat Research - Cisco Blogs
博客园 - Franky
I
InfoQ
D
DataBreaches.Net
爱范儿
爱范儿
Y
Y Combinator Blog
博客园 - 叶小钗
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报

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
Start now, then take your time: Removing the Pinecone waitlist and inactivity policy
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.