Update sample code for the article on LangChain chatbot#778
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Align the run command with the tutorial, which uses the `docker compose` (v2) form rather than the deprecated `docker-compose`.
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Updates the
langchain-rag-appsample code to match the refreshed Build an LLM RAG Chatbot With LangChain tutorial.What changed
create_agent,langchain-neo4j, …) and thegpt-5.5models, matching the updated article step by step (source_code_step_1…source_code_final).data/folder and removed the per-step copies. Step 1 keeps its owndata/reviews.csv(it only needs the reviews). CSV URLs in the article and README now point tolangchain-rag-app/data/.chroma_data/vector-store artifact (it's regenerated bycreate_retriever.py) and added a.gitignore.requirements.txtin every step, pinned consistently with eachpyproject.tomland the article, using the latest releases (openai==2.41.0,uvicorn==0.49.0,polars==1.41.2,httpx==0.28.1).CHATBOT_URL).ruff formatandruff checkboth pass.🤖 Generated with Claude Code