anthropic-cookbook
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Browse cluster: Claude AI Agent Frameworks & MCP Tools →Tech stack & purpose
The anthropic-cookbook is a collection of notebooks and recipes demonstrating effective ways to use Claude, Anthropic's AI model. The project covers several problem domains including classification, retrieval-augmented generation (RAG), summarization, text-to-SQL query generation, and knowledge graph construction from unstructured text. The tech stack centers on Python for the main guides (Jupyter notebooks) and Node.js with Promptfoo for evaluation infrastructure, along with supporting libraries like vector databases for RAG implementations and custom evaluation metrics. The project is created by Anthropic and serves as official educational material for developers learning to build applications with Claude.
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- Alex Notov118 commits
- Pedram Navid60 commits
- Sam Flamini33 commits
- Alex Albert25 commits
- Mahesh Murag24 commits
- Alex20 commits · 18 followers
- Garvan Doyle17 commits
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- Montana Low16 commits
- Joe Shamon15 commits
- Alexander Bricken15 commits
- Zack Witten14 commits
- Elie Schoppik12 commits
- Lance Martin11 commits
- Jiri De Jonghe10 commits
- CJ Avilla9 commits
- Adriaan Engelbrecht9 commits
- Alexander Bentkamp9 commits · 24 followers
- Ash Prabaker8 commits
- Brad Abrams7 commits
- Ikko Eltociear Ashimine7 commits
- cj6 commits
- David Hershey5 commits
- mnowicki5 commits
- Cal Rueb4 commits
- Isabella He4 commits
- markn4 commits
- Michael Cohen4 commits
- saflamini4 commits
- Nadine Yasser4 commits
