At Microsoft Ignite? Pinecone's own 🏳️🌈 Corbett Waddingham is onsite at our booth (#421) Drop by and say hello! Whatever your interest, from Fivetran to .NET to NVIDIA, we've got you covered. #developerLove
Pinecone
Software Development
New York, NY 61,825 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
Get directions
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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Edo Liberty writing for Wing Venture Capital Founder Docs on being a scientist in the startup world: "The unique thing about being a scientist founder is that because innovation is key to the way you think, it becomes key to the way you approach business, too."
🤝🏼Meet the Authors🤝🏼 Meet a few of the great founders we worked with to create Founder Docs. Whether you are looking for guidance in fundraising, research, sales, or PMF – they have you covered. • Barry McCardel, Co-founder and CEO at Hex • Edo Liberty, Founder, CEO at Pinecone • Christopher Lynch, Executive Chairman and CEO AtScale • Ratan Tipirneni, President and CEO Tigera More over at https://www.wing.vc/docs
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Join Pinecone's Lauren Nemeth & NVIDIA at #MSIgnite this Thursday to discuss the real-world impact of AI
At #MSIgnite, gain insight into how AI drives groundbreaking innovations, enhances efficiency, and creates new business. Register for the session, available online and in-person ➡️ https://nvda.ws/4hMihwH Hear from speakers at #NVIDIAInception startups Artisight, Pangaea Data, and Pinecone as they join Jennifer Ames Hoskins, our Global Head of Cloud Partnerships.
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The latest Pinecone .NET SDK is now available, with new features to enhance your vector database workflows including: • Import support for handling large data ingestion • Inference endpoints for embed and rerank Try it out today, and leave any questions or feedback in our repo. https://hubs.ly/Q02YrtyY0
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Looking for a weekend project? One developer just shared how they built a chat app using Pinecone Assistant. By enabling retrieval-augmented generation (RAG) with your own data, Pinecone makes it simple to create custom chat applications with accurate, context-specific responses. Check out this example, built with just a few Python functions and Google Docs data. Thanks @joseph petty! We’re always inspired by what developers create with Pinecone! #developerLove #community
Sr Developer Advocate @ Appsmith, Founder/ Freelancer @ GreenFlux, LLC greenflux.github.io
Spent the day learning about Pinecone's Assistants, and built a chat app with RAG using data from Google Drive. Using Pinecone’s Python SDK in Google Colab, I was able to loop over docs in a drive folder and upload them to the assistant, then begin chatting with my docs! Pinecone handles all the embedding and indexing details for you. Just upload a few files and the assistant will begin using them for retrieval augmented generation with each new prompt. Check out the full tutorial at: https://lnkd.in/euV38YdC
Building an AI Chat with Google Docs Knowledge Base Using Colab + Pinecone
blog.greenflux.us
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Pinecone COO Lauren Nemeth on pivots and product market fit: " When we started the business, there was no such thing as RAG. We had no idea that that was going to be our biggest use case -- we actually started the business trying to build a better search product and search experience. That was the core. "Everything that we look at datawise is actually about product Telemetry like what are developers building, where are they seeing scale, what is and is not working? "We started to realize that like RAG was actually the biggest use case. And we completely changed our road map now: to build an inference solution, build an assistant product -- things that we would have never done even three years ago probably. And that is now the core focus of the business, based on how we saw developers actually using the product."
Need some weekend inspiration? 🧠 Our Tech Week panels just dropped on YouTube, packed with founders spilling real talk and AI discussions. No buzzword bingo - just honest conversations about where tech is really headed. Fresh from the stage: - AI Leaders speak on the future of enterprise - Reimagining SF: shaping the city's next chapter - Finding product-market fit: AI commercial breakthroughs and more! Link in comments.
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Pinecone reposted this
We are excited to introduce our new Embed API in Open Beta, enabling customers to generate state-of-the-art multimodal embeddings. 🚢 Here are the key highlights: ✔ Powered by our state-of-the-art video foundation model Marengo-2.6 ✔ Up to 70% cheaper than other solutions including CLIP-based models for cost/performance ✔ Spatial-temporal understanding to identify and localize objects, actions, or events in both space (where it occurs in the frame) and time (when it happens over multiple frames) within a video. ✔ Integrations with MongoDB, Pinecone, Databricks, Milvus, LanceDB, and ApertureData for easy vector storage. To see how to create video, audio, image, and text embeddings all in the same latent space, see this blog announcement: https://lnkd.in/gDdTqzVS ⬅ Twelve Labs Embeddings is now available through APIs and Playground. To quickly start using the Embed API, here are a few resources: ☑ Documentation: https://lnkd.in/gcEzTNQZ ☑ Quickstart cookbook: https://lnkd.in/gtXgFm5B ☑ Landing page: https://lnkd.in/gxJiHAHs Big thanks to the project leads Manish Maheshwari, Yeonhoo Park, Hyeongmin Lee and other team members from our Research, Product, Design, Engineering, and Go-To-Market for their efforts!
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We’d love to hear from you at Microsoft Ignite! That’s why we’re opening slots for in-person meetings with the Pinecone team in Chicago, Nov 19-22, at Booth 421. Get exclusive access to our latest innovations, see practical benefits in action, and explore real-world applications. Book your 1:1 meeting and see what’s possible!
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Keep your data fresh– combine Estuary for data ingestion and Pinecone for retrieval to build real-time RAG. This guide shows you how 👇
💡 Ready to elevate your Retrieval-Augmented Generation (RAG) workflows? In our latest blog, Real-Time RAG with Estuary and Pinecone, Shruti Mantri walks you through the essentials of integrating real-time data into your AI applications. From setup to seamless data flow, this guide shows you how to build responsive, up-to-date RAG models with Estuary and Pinecone. Curious about the setup and impact? Dive into Shruti’s full guide here: 🔗 https://lnkd.in/eFv4fxru
Real-time RAG with Estuary Flow and Pinecone
estuary.dev
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CRN has announced the selection of Pinecone as one of its ten 2024 Stellar Startups in big data that solution providers should get to know! https://hubs.ly/Q02XYBfz0 "As data volumes continue to explode the global 'datasphere' – the total amount of data created, captured, replicated and consumed – is growing at more than 20 percent a year and is forecast to reach nearly 300 zettabytes by 2027, according to market researcher IDC." - CRN
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