examples
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
GraphCanon updated 5d · GitHub synced 5d · 32 views this month
Decision brief
Examples, powered by Pinecone vector databases, offers interactive Jupyter Notebooks to aid users in experimenting with semantic search tasks through hands-on guidance.
Good fit when
- When you need specific examples and walkthroughs for working with Pinecone's vector database technology using interactive Jupyter Notebooks.
- If you are already familiar with or leaning towards using Pinecone as your preferred vector database solution, these examples provide targeted hands-on experience.
Avoid when
- Avoid if you're looking for generic tools applicable to a wide range of vector databases; this repository focuses exclusively on Pinecone.
- Not ideal if you prefer starting with theoretical understanding before practical application; the provided guidance is geared toward immediate experimentation in Google Colab.
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 5d
- Provenance
- Not a fork · Organization account
- As of 5d
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/pinecone-io/examplesHow it fits your stack(9)
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Overview
Pinecone-io/examples provides interactive Jupyter Notebooks aimed at enabling users to experiment and understand the workings of Pinecone vector databases, focusing on tasks such as semantic search. The content guides users through setup processes for experimentation in environments like Google Colab.
Capability facts
- Languages
- jupyter notebook, python
Source: github.language+pyproject.toml · Aug 15, 2026
Categories
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README
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.
For agents
This page has a .md twin and JSON over the API.