This repository is a collection of sample applications and Jupyter Notebooks that you can run, download, study and modify in order to get hands-on with Pinecone vector databases and common AI patterns, tools and algorithms.

This repo contains:

1. Production ready examples in ./docs that receive regular review and support from the Pinecone engineering team
2. Examples optimized for learning and exploration of AI techniques in ./learn and patterns for building different kinds of applications, created and maintained by the Pinecone Developer Advocacy team.

We appreciate your feedback and contributions. Please see our contribution guide for information on how to contribute to this repo.

Please see our Getting started guide in our learn section for detailed instructions and a walkthrough of setting up and running a Jupyter Notebook in Google Colab for experimentation.

As you work through these examples, if you encounter any problems or things that are confusing or don't work quite right, please open a new issue .

Visit our:

• Documentation
• Support forums

We truly appreciate your contributions to help us improve and maintain this community resource!

If you've got ideas for improvements, want to contribute a quick fix like correcting a typo, or patching an obvious bug, feel free to open a new issue or even a pull request. If you're considering a larger or more involved change to this repository, its organization or the functionality of one of the examples, please first open a new issue and state your proposed changes so we discuss them together before you invest a ton of time or effort into making changes. Thanks for your understanding and collaboration.