https://github.com/anthropics/claude-cookbooks

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

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

To make the most of the examples in this cookbook, you'll need an Claude 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 Claude API.

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

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

• Anthropic developer documentation
• Anthropic support docs
• Anthropic Discord community

The Claude Cookbooks 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.

• 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: Learn how to integrate Claude with external tools and functions to extend its capabilities.
  • Customer service agent
  • Calculator integration
  • SQL queries

• Retrieval augmented generation: Supplement Claude's knowledge with external data sources.
  • Vector databases (Pinecone)
  • Wikipedia
  • Web pages
  • Internet search (Brave)
• Embeddings with Voyage AI

• Vision with Claude:
  • Getting started with images
  • Best practices for vision
  • Interpreting charts and graphs
  • Extracting content from forms
• Generate images with Claude: Use Claude with Stable Diffusion for image generation.

• Sub-agents: Learn how to use Haiku as a sub-agent in combination with Opus.
• Upload PDFs to Claude: Parse and pass PDFs as text to Claude.
• Automated evaluations: Use Claude to automate the prompt evaluation process.
• Enable JSON mode: Ensure consistent JSON output from Claude.
• Create a moderation filter: Use Claude to create a content moderation filter for your application.
• Prompt caching: Learn techniques for efficient prompt caching with Claude.

• 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.