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Category: Claude Prompts
Retrieval Augmented Generation with Claude
Learn how to enhance Claude’s capabilities with domain-specific knowledge using Retrieval Augmented Generation (RAG).
## Contents
– `guide.ipynb`: Main tutorial notebook
– `data/`: Data files for ex
Retrieval Augmented Generation with Contextual Embeddings
Learn how to improve RAG performance using contextual embeddings to add relevant context to each chunk before embedding.
## Contents
– `guide.ipynb`: Main tutorial notebook
– `data/`: Data files for
Evaluations with Promptfoo
### Pre-requisities
To use Promptfoo you will need to have node.js & npm installed on your system. For more information follow [this guide](https://docs.npmjs.com/downloading-and-installing-node-js-a
Classification with Claude
Learn how to use Claude for classification tasks, especially in scenarios with complex business rules and limited training data.
## Contents
– `guide.ipynb`: Main tutorial notebook
– `data/`: Data f
Claude Capabilities
Welcome to the Capabilities section of the Claude Cookbooks! This directory contains a collection of guides that showcase specific capabilities where Claude excels. Each guide provides an in-depth exp
Before Committing
# Check all notebooks
uv run python scripts/validate_notebooks.py
# Run pre-commit on all files
uv run pre-commit run –all-files
Code Style
feat(scope): add new feature
fix(scope): fix bug
docs(scope): update documentation
style: lint/format
Development Commands
make format # Format code with ruff
make lint # Run linting
make check # Run format-check + lint
make fix # Auto-fix issues + format
make test # Run pytest