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Build a Custom AI Document Q&A Bot with LangChain in 30 Minutes

1. Why a Document Q&A Bot & What You’ll Build

• Understand the real-world use case: turning static PDFs, Notion pages, or internal wikis into an interactive Q&A system.
• Overview of the tech stack: LangChain + OpenAI embeddings + a vector store (ChromaDB) + Streamlit for the UI.
• What the final bot will do: upload a document, ask natural-language questions, and get cited answers in seconds.

2. Setting Up Your Environment & Dependencies

• Step-by-step Python environment setup (Python 3.10+, venv, pip) and installing key packages: langchain, openai, chromadb, streamlit, pypdf.

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Written byTheo Grant

Theo Grant explores real-world AI applications, automation workflows, and hands-on tutorials at AI In Action Hub. Theo breaks down complex AI concepts into practical guides that help professionals and creators leverage AI in their daily work.