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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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