Build Your Own AI Chatbot with OpenAI & LangChain
summary
Workshop shows a runnable pipeline that indexes local docs, embeds chunks and answers queries using OpenAI API and LangChain. Text is split into 17 chunks, embedded with OpenAI embeddings, stored in a Chroma vector store and queried by a conversational retriever chain; general questions fall back to GPT (examples use GPT‑3.5). Demo prints token usage (prompt 35, completion 28, total 63) and returns accurate bootcamp answers, so the build works end‑to‑end.
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chapters (10)
- 0:00AI chatbot building intro
- 10:40Language models & Transformers
- 13:31OpenAI’s role
- 14:55LLM training stages
- 22:40Base vs assistant models
- 30:38OpenAI API for chatbot
- 33:05LangChain framework
- 45:34Chatbot with documents
- 56:06Demo in Google Colab
- 1:10:39Summary & Q&A
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