anthropic-cookbook icon indicating copy to clipboard operation
anthropic-cookbook copied to clipboard

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

Anthropic Cookbook

The Anthropic Cookbook provides code and guides designed to help developers build with Claude, offering copy-able code snippets that you can easily integrate into your own projects.

Prerequisites

To make the most of the examples in this cookbook, you'll need an Anthropic API key (sign up for free here).

While the code examples are primarily written in Python, the concepts can be adapted to any programming language that supports interaction with the Anthropic API.

If you're new to working with the Anthropic API, we recommend starting with our Anthropic API Fundamentals course to get a solid foundation.

Explore Further

Looking for more resources to enhance your experience with Claude and AI assistants? Check out these helpful links:

Contributing

The Anthropic Cookbook thrives on the contributions of the developer community. We value your input, whether it's submitting an idea, fixing a typo, adding a new guide, or improving an existing one. By contributing, you help make this resource even more valuable for everyone.

To avoid duplication of efforts, please review the existing issues and pull requests before contributing.

If you have ideas for new examples or guides, share them on the issues page.

Table of recipes

Skills

  • Citations: Learn how to prompt Claude to cite sources in its responses.
  • Classification: Explore techniques for text and data classification using Claude.
  • Retrieval Augmented Generation: Learn how to enhance Claude's responses with external knowledge.
  • Summarization: Discover techniques for effective text summarization with Claude.

Tool Use and Integration

Third-Party Integrations

Multimodal Capabilities

Advanced Techniques

Additional Resources

  • Anthropic on AWS: Explore examples and solutions for using Claude on AWS infrastructure.
  • AWS Samples: A collection of code samples from AWS which can be adapted for use with Claude. Note that some samples may require modification to work optimally with Claude.