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

T
The Blog of Author Tim Ferriss
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
大猫的无限游戏
大猫的无限游戏
月光博客
月光博客
博客园 - Franky
博客园 - 三生石上(FineUI控件)
爱范儿
爱范儿
腾讯CDC
罗磊的独立博客
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
T
Tailwind CSS Blog
P
Privacy International News Feed
The Cloudflare Blog
D
Darknet – Hacking Tools, Hacker News & Cyber Security
T
Threat Research - Cisco Blogs
Hugging Face - Blog
Hugging Face - Blog
Project Zero
Project Zero
S
SegmentFault 最新的问题
美团技术团队
WordPress大学
WordPress大学
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
云风的 BLOG
云风的 BLOG
Spread Privacy
Spread Privacy
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
B
Blog
Cisco Talos Blog
Cisco Talos Blog
The GitHub Blog
The GitHub Blog
G
Google Developers Blog
T
The Exploit Database - CXSecurity.com
Simon Willison's Weblog
Simon Willison's Weblog
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
C
Cisco Blogs
NISL@THU
NISL@THU
J
Java Code Geeks
C
CERT Recently Published Vulnerability Notes
T
Tor Project blog
K
Kaspersky official blog
宝玉的分享
宝玉的分享
Martin Fowler
Martin Fowler
I
Intezer
U
Unit 42
博客园 - 聂微东
C
Check Point Blog
Recent Announcements
Recent Announcements
Microsoft Azure Blog
Microsoft Azure Blog
Latest news
Latest news
博客园 - 司徒正美
G
GRAHAM CLULEY
S
Schneier on Security
V
Visual Studio Blog

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 Partner Program to Bring More Companies Into the AI Stack
2024-04-09 · via Pinecone

Streamlined integrations and go-to-market support will expand ecosystem and accelerate successful adoption of AI

NEW YORK, April 8, 2024 /PRNewswire/ -- Pinecone, the vector database company making AI knowledgeable, announced the launch of the Pinecone Partner Program. The program lets software providers become part of the critical AI ecosystem by offering streamlined access to the market-leading vector database inside their products. Expanded and streamlined access for developers to the vector database inside their existing tools will dramatically accelerate successful deployments of AI applications.

The Pinecone vector database is a key component of the AI tech stack, helping companies solve one of the biggest challenges in deploying GenAI solutions — hallucinations — by allowing them to store, search, and find the most relevant and up-to-date information from company data and send that context to Large Language Models (LLMs) with every query. This workflow is called Retrieval Augmented Generation (RAG), and with Pinecone, it aids in providing relevant, accurate, and fast responses from search or GenAI applications to end users. Pinecone is the market and technology leader, with a large existing ecosystem of integrated solutions and cloud partners.

"Developers want a simple workflow to build ambitious products quickly,” said Edo Liberty, Founder & CEO of Pinecone. “Pinecone is used alongside other core parts of the AI stack such as data processing, application monitoring, and model providers. It’s critically important that these solutions work together seamlessly and reliably — this partner program is a huge leap in achieving that.”

The new program lets selected partners deliver more competitive AI-building capabilities to their customers. These include streamlined integration options for a seamless user experience, usage reporting for greater visibility, and sales, marketing, and technical support to drive successful adoption. The program is launching with industry-leading and rapidly rising companies as launch partners, including Anyscale, Confluent, LangChain, Mistral, Monte Carlo, Nexla, Pulumi, Qwak, Together.ai, Vectorize, and Unstructured, with more to be announced.

"With Apache Kafka® and Apache Flink® together as a complete data streaming platform, Confluent provides a simple solution for accessing and processing data streams from across the entire business to build a real-time, contextualized, and trustworthy data foundation to fuel GenAI applications," said Andrew Sellers, Head of Technology Strategy at Confluent. "As part of the Pinecone Partner Program, we'll be providing Pinecone users with even more metadata tied to these data streams — helping them to uncover more insights from data provenance and unlock greater value from RAG-enabled workloads."

"Three-click integration between Pinecone and Unstructured will enable teams to provide LLMs access to key internal documents within minutes," said Brian Raymond, Founder & CEO of Unstructured. "By leveraging Pinecone's partner ecosystem, you can ensure your LLMs stay up-to-date and know about your organization."

Software providers can learn more and apply to join the Pinecone Partner Program starting today.

About Pinecone
Pinecone created the vector database, which acts as the long-term memory and knowledge layer for AI models and is a core infrastructure component for AI-powered applications. The managed service lets engineers deliver remarkable and commercially viable AI applications faster. Pinecone recently 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. Pinecone operates in San Francisco, New York, and Tel Aviv.