Pinecone Examples
A collection of sample applications and Jupyter notebooks for getting hands-on with Pinecone vector databases and common AI patterns.
This repository collects runnable, downloadable sample applications and Jupyter notebooks for working hands-on with Pinecone vector databases, covering common AI patterns, tools, and algorithms built around retrieval and semantic search. It contains two kinds of examples: production-ready samples that receive regular review and support from the Pinecone engineering team, and examples optimized for learning and exploration created by the Pinecone Developer Advocacy team.
A getting-started guide walks through setting up and running a notebook in Google Colab for experimentation. The project is maintained on GitHub and licensed under MIT, with contributions accepted through pull requests.