🦀Attention Rust developers! An early build of a Rust SDK for Pinecone is now available for you to try out. Start building, and let us know what you think: https://hubs.ly/Q02KPfdF0
Pinecone
Software Development
New York, NY 56,737 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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Pinecone serverless is available in public preview on Google Cloud (us-central1) and Microsoft Azure (eastus2), with more regions on the way! Now you can build with serverless across all three major clouds: AWS, Azure, and GCP. Ready to dive in? Sign up for free and start building in minutes! https://hubs.ly/Q02KvRbB0
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John Wang of Assembled will join our next RAG Brag session on August 15th! He'll talk about their new AI tool, Assist, and how it uses #RAG and hybrid search with Pinecone to make customer support faster and more empathetic. 👉 Don't miss this chance to learn from an industry expert and see how GenAI can transform your business!
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Given a collection of every kind of animal on earth - narwhals to puppies to mules, how do we find just the "pets"? How would we distinguish between a pack mule and a Moscow Mule? How is red as a color different from "red" as a term? And why is the famous example of (king-man+woman=queen) transferrable to examples like cities and countries, but flawed when recast as analogy? Find out in this short talk by Jocelyn Matthews for Arize AI's Arize:Observe 2024 Embeddings (Vectors) Explained: The Core Concepts for Developers - YouTube https://hubs.ly/Q02KtmNw0
Embeddings (Vectors) Explained: The Core Concepts for Developers
https://www.youtube.com/
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Welcome to the team, Chris Rolfe! We're so excited to have you in the Pinecone family. Chris joins us from the University of York, where he is studying for a bachelor’s degree in Computer Science. We are thrilled to have him with us for his Year in Industry! Want to join the Pinecone family? Check out our available job opportunities here: https://hubs.ly/Q02JZZsm0
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🎉 Go SDK for Pinecone is now generally available. You get: - Access to the full database API, including new index deletion protection - Expanded configuration for gRPC implementations - Improved development experience, including more detailed error responses and improved JSON annotations Start building today: https://hubs.ly/Q02Kj3ZY0
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We are excited to celebrate the growth of our team by welcoming Ana Wishnoff, Pinecone's new Senior Product Manager, Developer Experience. Ana comes to Pinecone with 5 years in the tech industry with a focus on developer-centric products, and we are thrilled to have her. Are you interested in joining our talented team? Check out our opportunities today: https://hubs.ly/Q02JZZyT0
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Tune in live this Wednesday, August 7th for our RAG Brag with Kapil Sharma, VP of Product, & Dinesh Chahlia, VP of AI Platform and Architecture at Lab45, Wipro's innovation lab, and our own Bear Douglas and Valeria Gomez! Don't miss out! Bring your questions for the Q&A at the end > https://hubs.ly/Q02K4QbC0
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What if you could overcome language barriers in your multilingual datasets using vector search? Multilingual embedding models such as multilingual-e5-large can represent over 100 languages into the same vector space. Doing so enables the power of semantic search within and across these languages for your customers. With Pinecone's Inference API and vector database, you can create an embedding pipeline to serve mono-lingual and cross-lingual searches, greatly simplifying your search infrastructure and enabling queries in multiple languages. https://hubs.ly/Q02J-bVR0
The Practitioner's Guide To E5 | Pinecone
pinecone.io
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📆 Pinecone July product highlights: - Expanded serverless to GCP and Azure - Launched Pinecone Inference - Introduced API versioning - Released a new multimodal sample app And more: https://hubs.ly/Q02JJnq00
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