?? Pinecone September product highlights: - Evaluate RAG correctness with our Evaluation API - Select the LLM to use with Pinecone Assistant and filter its responses - Marketplace Billing Integration with AWS, GCP, and Azure And more:https://hubs.ly/Q02RTHJq0
Pinecone
软件开发
New York，NY 60,151 位关注者
The Pinecone vector database: Long-term memory for AI.
关于我们
Pinecone is a fully managed vector database that makes it easy to add vector search to production applications. It combines state-of-the-art vector search libraries, advanced features such as filtering, and distributed infrastructure to provide high performance and reliability at any scale. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search. We are engineers who built large machine learning platforms, databases, and search engines at AWS, Yahoo, Splunk, Databricks, and more. We are scientists who transformed businesses with ML applications such as shopping recommendations, online advertising, semantic search, anomaly detection, and more. We are researchers who collectively published more than 100 academic papers and patents on machine learning, systems, and algorithms.
- 网站
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https://www.pinecone.io/
Pinecone的外部链接
- 所属行业
- 软件开发
- 规模
- 51-200 人
- 总部
- New York，NY
- 类型
- 私人持股
- 创立
- 2019
地点
Pinecone员工
动态
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Join us tomorrow (October 2nd) at 12pm ET for our “QPS: Quarterly Pinecone Summary” and roadmap session! During the session, our product team will dive deep into our plans for Q4 including: ??The evolution of Pinecone inference ??Easier testing with Pinecone local ??Expanded security features Sign up now! https://hubs.ly/Q02RhPFn0
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Data classification is key for AI and ML applications, from spam detection to medical diagnostics. Traditional systems struggle with large datasets, but vector databases like Pinecone serverless accelerate similarity searches for faster, more efficient classification. In our latest whitepaper, you'll find a: ??Deep dive into vector-based classification ??Use cases like model training, sentiment analysis, and more ??Reference architecture for image classification with Pinecone and AWS Download it now, and start building remarkable applications with Pinecone and AWS today: https://hubs.ly/Q02QDt4s0.
Optimizing and accelerating data classification with Pinecone and AWS | Pinecone
pinecone.io
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Join us on October 2nd at 12pm ET for our “QPS: Quarterly Pinecone Summary” and roadmap session! During the session, we’ll discuss: ??Key product updates from Q3, including Serverless availability on Azure and Google Cloud; general performance improvements; and more. ??What to expect in Q4 including expanded security features; the next phase of inference with Pinecone; and more. Sign up now! https://hubs.ly/Q02QDzTb0
QPS: Quarterly Pinecone Summary and Roadmap Session, Q3 2024 | Pinecone
pinecone.io
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Import from object storage is now in public preview, making it easier and more efficient to transfer and index your initial workload with Pinecone serverless. With import, you can: ?Save up to 6x on initial ingest costs ?Ingest millions of records with a single request ?Experiment at scale with minimal overhead It is currently available for Amazon S3, with support for Google Cloud Storage and Azure Blob Storage coming soon. https://hubs.ly/Q02QX4VX0
Introducing import from object storage for more efficient data transfer to Pinecone serverless | Pinecone
pinecone.io
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Dive into our latest whitepaper to explore how Pinecone supports text, images, and audio for richer, contextual information retrieval. Learn to build powerful multimodal search applications with example use cases and a detailed reference architecture using Pinecone and AWS AI/ML services. Download now, and start building remarkable multimodal search applications: https://hubs.ly/Q02QDdfl0.
Building remarkable multimodal search applications with Pinecone and AWS | Pinecone
pinecone.io
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If you are in Amsterdam or nearby, please join our friends SmartCat.io for their RAG and Vector Data Bases Hands-on Lab on October 2nd **Registration link in comments** The event is free to attend. This workshop is tailored for engineers and developers ready to build and scale GenAI applications using Pinecone's advanced vector database. SmartCat's technical team will cover essential infrastructure and frameworks to create a basic Retrieval-Augmented Generation (RAG) application, seamlessly integrating AI with Pinecone's capabilities.
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Pinecone is hosting several exciting events in San Francisco during TECH WEEK by a16z. Here’s what’s coming: Monday, Oct 7 Andreessen Horowitz and HSBC: Executive Panel featuring Lauren Nemeth (Pinecone COO) "Finding Product-Market Fit: The Path to AI Commercial Breakthrough" Founders and C-suite from Mistral AI, Pinecone, HSBC and Anyscale Tuesday, Oct 8 Networking Mixer + Fireside Chat: Pinecone x Microsoft for Startups Insights and Q&A with Heena Purohit, Director of AI Startups at Microsoft for Startups -- https://lnkd.in/gX6VBPBN Tuesday, Oct 8 Hands-on Workshop:?Microsoft AZD for Pinecone Led by Pinecone’s engineers, you'll learn azd templates in realtime. Limited space. With ????? Corbett Waddingham Roie Schwaber-Cohen --https://lnkd.in/gX6VBPBN ? Friday, Oct 11 - Sunday, Oct 13 Agentic RAG-a-thon for Enterprise Engineers? Over $10k cash prizes. 3 days with LlamaIndex, Pinecone and VESSL AI. This hackathon aims to create intelligent, contextually aware AI agents.?With Arjun Patel and Jocelyn Z. Matthews -- https://lnkd.in/gX6VBPBN Apply to join now. Let's celebrate #TechWeek together!
Community | Pinecone
pinecone.io
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From our use cases, deep dives, and manuals on vector search and a host of other AI infrastructure topics (https://lnkd.in/guQUVwhe) – to conversations like this one between our founder and CEO Edo Liberty and AssemblyAI founder and CEO Dylan Fox – we're big on sharing insights and learning as a community. Let us know if you learned anything from this chat; we'd love to hear!
Introducing Assembly Required - A series of candid conversations with AI founders sharing insights, learnings, and the highs and lows of building a company. This week, Edo Liberty, founder and CEO of Pinecone, sits down with Dylan Fox, founder and CEO of AssemblyAI, to talk through: - Pioneering an entirely new category that doesn’t even have a name yet - Making the right pricing decisions, even when they’re hard - Building products that are optimized for love and trust Watch their full conversation here: https://lnkd.in/eeyCruPN
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Pinecone Assistant is now available to all users in public preview! In this release, we’re introducing new features to further simplify, enhance, and evaluate RAG development, including: ??Built-in evaluation: Easily evaluate the query, generated answer, and ground truth through the Evaluation API. ??Expanded LLM support: Choose the LLM that suits you best. Pinecone Assistant currently supports Azure OpenAI’s GPT-4o and Anthropic’s Claude Sonnet 3.5. ??Metadata filtering: Associate and filter files by metadata to limit your queries to a particular user, group of users, or category. Learn more and start building with Pinecone Assistant today: https://hubs.ly/Q02Qgtd00
Simplify, enhance, and evaluate RAG development with Pinecone Assistant, now in public preview | Pinecone
pinecone.io