OpenAI Cookbook
The OpenAI Cookbook is the official collection of example code and practical guides for building with the OpenAI API. It covers real-world patterns from embeddings and RAG to function calling and fine-tuning, with runnable notebooks that developers can adapt directly into production applications.
Overview
"OpenAI Cookbook" is a "Guide" resource curated by AI Resource Hub, filed under the Tutorial Resources category and suited to Intermediate-level learners. It is provided by OpenAI, was last updated on 2026-06-16, and holds an editorial score of 4.7/5 from our team. Click "Visit Resource" on the right to open the original page.
Our Verdict
The OpenAI Cookbook is the first stop for anyone building on the OpenAI API. Maintained by OpenAI itself, it pairs authoritative, current guidance with copy-paste-ready examples and runnable notebooks covering nearly every feature — RAG, agents, evals, and beyond. It's free. The limits mirror its purpose: it's OpenAI-centric, so multi-provider setups need adaptation; a few notebooks lag the latest API; and the code favors readability over production hardening. Treat it as the reference, borrow the patterns, then harden them for your own stack.
Tags
Key Features
- ▹Practical code recipes for the OpenAI API
- ▹Patterns for RAG, agents, and evals
- ▹Maintained by OpenAI
Pros
- +Copy-paste-ready examples
- +Authoritative and current
- +Runnable notebooks for nearly every OpenAI feature
Cons
- −Focused on OpenAI’s stack
- −Examples focus on OpenAI, not multi-provider
- −Some notebooks lag the latest API changes
- −Not always production-hardened code
FAQ
Details
- Pricing
- Free and open source
- Author
- OpenAI
- Editorial score
- ★ 4.7 / 5
- Last updated
- Jun 16, 2026