---
title: "examples"
type: "tool"
slug: "pinecone-io-examples"
canonical_url: "https://www.graphcanon.com/tools/pinecone-io-examples"
github_url: "https://github.com/pinecone-io/examples"
homepage_url: null
stars: 3025
forks: 1073
primary_language: "Jupyter Notebook"
license: "MIT"
categories: ["vector-databases", "data-retrieval"]
tags: ["llm", "ai", "python", "jupyter-notebook", "semantic-search"]
updated_at: "2026-07-07T18:43:51.163036+00:00"
---

# examples

> Jupyter Notebooks for hands-on experience with Pinecone vector databases

Repository containing Jupyter Notebooks for learning and experimenting with Pinecone's vector database technology, including production-ready examples reviewed by the engineering team and learning-focused applications designed to explore AI techniques.

## Facts

- Repository: https://github.com/pinecone-io/examples
- Stars: 3,025 · Forks: 1,073 · Open issues: 63 · Watchers: 47
- Primary language: Jupyter Notebook
- License: MIT
- Last pushed: 2026-07-02T16:01:19+00:00

## Categories

- [Vector Databases](/categories/vector-databases.md)
- [Data & Retrieval](/categories/data-retrieval.md)

## Tags

llm, ai, python, jupyter-notebook, semantic-search

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## README (excerpt)

```text
# Pinecone Examples

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](https://www.pinecone.io/learn/vector-database/) and common AI patterns, tools and algorithms.

# Two kinds of examples 

This repo contains: 

1. Production ready examples in [`./docs`](./docs) that receive regular review and support from the Pinecone engineering team
2. Examples optimized for learning and exploration of AI techniques in [`./learn`](./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 [CONTRIBUTING.md](CONTRIBUTING.md) for information on how to contribute to this repo. 

# Getting started 

Please see our [Getting started guide](./learn/README.md#getting-started) in our learn section for detailed instructions and a walkthrough of setting up and running a Jupyter Notebook in Google Colab for experimentation. 

## We love feedback! 

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 :octocat:](https://github.com/pinecone-io/examples/issues/new).

## Getting support and further reading 

Visit our: 
* [Documentation](https://docs.pinecone.io)
* [Support forums](https://community.pinecone.io)

## Contributing

See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines on how to contribute.
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/pinecone-io-examples`](/api/graphcanon/tools/pinecone-io-examples)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_