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pinecone-io/examples

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

GraphCanon updated 5d · GitHub synced 5d · 32 views this month

3.0k stars1.1k forksLast push 6d Jupyter Notebook MIT

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

Verify the decision

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/examples

How it fits your stack(9)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Relationship graph

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Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

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

Tags

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.

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