Welcome to the team, Thomas Mukasa! We're so excited to have you in the Pinecone family. Thomas joins us from the University of York, where he is a computer science and mathematics student. He's with us for the year on the industrial placement programme! Want to join the Pinecone family? Check out our available job opportunities here: https://hubs.ly/Q02GHd3c0
Pinecone
Software Development
New York, NY 55,666 followers
The Pinecone vector database: Long-term memory for AI.
About us
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.
- Website
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https://www.pinecone.io/
External link for Pinecone
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- New York, NY
- Type
- Privately Held
- Founded
- 2019
Locations
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Primary
New York, NY 10001, US
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San Francisco, California, US
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Tel Aviv, IL
Employees at Pinecone
Updates
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Congratulations to Christine K., our new full-stack engineer in the Experience team, who comes to us with a wealth of experience in software development in the blockchain and AI industry. We are excited to have you! Interested in joining our talented team at Pinecone? Check out our opportunities today: https://hubs.ly/Q02GHs120
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Great listen from our staff developer advocate Roie Schwaber-Cohen! On this episode of Changelog's Practical AI Podcast, Roie explores vector databases, their advantages in semantic search, and the benefits of Retrieval-Augmented Generation (RAG) for enterprises. 👂 👂
It was a pleasure to chat about Pinecone and more with Daniel Whitenack and Chris Benson on the Practical AI Podcast. Check out the episode: https://lnkd.in/g9wUed2E
Vectoring in on Pinecone with Roie Schwaber-Cohen (Practical AI #277)
changelog.com
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The latest version of our Spark connector (v 1.1.0) increases the metadata limit for record upsert by 8x to 40KB. See our release notes to learn more https://hubs.ly/Q02G2GTr0
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Congratulations to Bar Genossar, our new Research Intern. Bar comes to us from the Technion Institute of Technology with a wealth of experience in data integration research. We are excited to have you! Interested in joining our talented team at Pinecone? Check out our opportunities today: https://hubs.ly/Q02FFyvj0
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Choosing a suitable embedding model for your GenAI applications can be time consuming. With Pinecone Inference, we streamlined the process for you by providing easy, low-latency access to embedding (and soon reranking) models hosted on Pinecone’s infrastructure. We chose to start with ‘multilingual-e5-large’ because it’s small, open source, natively multilingual, and performs well on benchmarks across languages. Read our deep dive to learn more, including an example notebook using Pinecone Inference. https://hubs.ly/Q02FQBx40
The Practitioner's Guide To E5 | Pinecone
pinecone.io
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New York, we're coming for you. See why 5000+ customers choose Pinecone to build knowledgeable AI. We'll be at booth 138 tomorrow at the Amazon Web Services (AWS) Summit. We're looking forward to meeting you!
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Say in the comments what models you want!
Introducing Pinecone Inference, an API that provides easy, low-latency access to embedding and reranking models hosted on Pinecone’s infrastructure. Make Pinecone your “one-stop shop” for embedding, managing, and retrieving data. Try Inference out today, now in public preview, and build knowledgeable AI applications faster, with less complexity and fewer tools to manage! https://lnkd.in/eZDY-RyJ
Introducing Pinecone Inference to streamline your AI workflow | Pinecone
pinecone.io
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Introducing Pinecone Inference, an API that provides easy, low-latency access to embedding and reranking models hosted on Pinecone’s infrastructure. Make Pinecone your “one-stop shop” for embedding, managing, and retrieving data. Try Inference out today, now in public preview, and build knowledgeable AI applications faster, with less complexity and fewer tools to manage! https://lnkd.in/eZDY-RyJ
Introducing Pinecone Inference to streamline your AI workflow | Pinecone
pinecone.io
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Key takeaway from our founder and CEO Edo Liberty in conversation with Tomasz Tunguz, Nick Elprin, and Adel Nehme for the #DataFramed podcast: To leverage AI effectively, businesses need to focus on making AI applications knowledgeable and trustworthy by integrating them with enterprise data and ensuring compliance with regulatory standards.
Dive into the evolving landscape of generative AI with Tom Tunguz, Edo Liberty, and Nick Elprin in our latest #DataFramed episode, hosted by Adel Nehme Key highlights: 👀 Prototyping and internal use cases. 👀 Innovations in AI infrastructure. 👀 Combining specialized models with LLMs. 👀 Ensuring AI applications are trustworthy and compliant. Perfect if you're seeking to understand how businesses can capitalize on emerging trends and breakthrough applications in generative AI. Listen now: https://ow.ly/BuBt50SwHoN #DataCamp #GenerativeAI #DataScience #AI #Innovation
[Radar Recap] Charting the Path: What the Future Holds for Generative AI
datacamp.com