GraphCanon

examples

pinecone-io/examples

Jupyter Notebooks for Pinecone Vector Databases

GitHub
3.0k
Stars
1.1k
Forks
63
Open issues
47
Watchers
Jupyter Notebook MITLast pushed Jul 2, 2026

Overview

This repository offers Jupyter Notebooks and sample applications that are either production-ready or optimized for learning, enabling users to interact with Pinecone vector databases and explore AI techniques.

Categories

Data & RetrievalVector Databases

Tags

llmaipythonjupyter-notebooksemantic-search

Similar tools

transformers

huggingface/transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models

162k 34kPython

langflow

langflow-ai/langflow

Langflow is a powerful platform for building and deploying AI-powered agents and workflows.

151k 9.5kPython

firecrawl

firecrawl/firecrawl

The API to search, scrape, and interact with the web at scale.

147k 8.5kTypeScript

PaddleOCR

PaddlePaddle/PaddleOCR

PaddleOCR: A powerful OCR toolkit for transforming PDFs/images into structured data

85k 11kPython

graphify

Graphify-Labs/graphify

AI coding assistant skill that transforms various file types into a queryable knowledge graph

79k 7.8kPython

worldmonitor

koala73/worldmonitor

Real-time global intelligence dashboard.

62k 9.6kTypeScript

Install

git clone https://github.com/pinecone-io/examples

README

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 and common AI patterns, tools and algorithms.

Two kinds of examples

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 CONTRIBUTING.md for information on how to contribute to this repo.

Getting started

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.

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:.

Getting support and further reading

Visit our:

Contributing

See CONTRIBUTING.md for guidelines on how to contribute.