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:
- Production ready examples in
./docsthat receive regular review and support from the Pinecone engineering team - Examples optimized for learning and exploration of AI techniques in
./learnand patterns for building different kinds of applications, created and maintained by the Pinecone Developer Advocacy team.
We appreciate your feedback and contributions. Please see CONTRIBUTING.md 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:
See CONTRIBUTING.md for guidelines on how to contribute.