pinecone-io/examples
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
This collection of Jupyter Notebooks helps you learn how to use Pinecone vector databases. You'll find examples that show you how to build AI applications that need to store and retrieve information quickly, like for long-term memory. These notebooks take common AI patterns and data (text, images, etc.) and demonstrate how to use Pinecone to manage them, resulting in functional code examples. This is for AI developers, researchers, and engineers looking to integrate vector databases into their projects.
2,997 stars.
Use this if you are an AI developer or researcher who wants to learn how to build applications using Pinecone vector databases for tasks like semantic search or recommendation systems.
Not ideal if you are looking for a general introduction to AI concepts or a production-ready application that doesn't involve vector databases.
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2,997
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Jupyter Notebook
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MIT
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Last pushed
Mar 12, 2026
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