Jupyter Notebooks for Pinecone vector database exploration
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This repository provides Jupyter Notebooks and sample applications for users to learn and experiment with Pinecone vector databases and AI patterns. It caters to both production-ready examples and learning-focused explorations, enabling hands-on experience with AI techniques and application development.
How It Works
The repository is structured into two main directories: ./docs
for production-ready examples that receive regular review and support from the Pinecone engineering team, and ./learn
for examples optimized for learning and exploration of AI techniques and application patterns, maintained by the Pinecone Developer Advocacy team. This dual approach ensures both practical, robust examples and accessible, educational content.
Quick Start & Requirements
./learn
section for setting up and running Jupyter Notebooks in Google Colab.Highlighted Details
Maintenance & Community
The repository is maintained by the Pinecone engineering and Developer Advocacy teams. Contributions are welcomed via issues and pull requests, with a preference for discussing larger changes via new issues first.
Licensing & Compatibility
The repository's license is not explicitly stated in the provided README. Compatibility for commercial use or closed-source linking would require clarification of the license.
Limitations & Caveats
The README does not specify the exact license, which may impact commercial use or integration into closed-source projects. Detailed setup instructions are deferred to an external guide.
2 weeks ago
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