Sample code for: LangChain Tutorial: From Prompts to RAG and AI Agents

[martin-martin]

Where to put new files:

• New files should go into a top-level subfolder, named after the article slug. For example: my-awesome-article

How to merge your changes:

1. Make sure the CI code style tests all pass (+ run the automatic code formatter if necessary).
2. Find an RP Team member on Slack and ask them to review & approve your PR.
3. Once the PR has one positive ("approved") review, GitHub lets you merge the PR.
4. 🎉

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Code examples for the LangChain Tutorial: From Prompts to RAG and AI Agents tutorial. Files live in the langchain-tutorial/ top-level folder, named after the article slug.

The folder holds the three scripts built in the tutorial: build_vector_db.py (loads reviews.csv into ChromaDB), rag.py (RAG chain over the reviews), and agents.py (tool-calling agent with count_reviews and find_physician_hospitals tools). Also included: reviews.csv, a requirements.txt with the pinned versions from the tutorial, and a .env.example.

All scripts were executed end-to-end against the OpenAI API with the pinned versions (ruff format + ruff check clean against the repo's pinned ruff).

🤖 Generated with Claude Code

[bzaczynski]

Final QA: materials tested, all scripts run and match the tutorial.