Lets Build A Node.js ChatGPT-Like Bot With AI APIs
summary
Builds a Node.js RAG system using OpenAI models, LangChain, Express and Chroma vector DB, ingesting documents, chunking to embeddings and serving retrieval-augmented answers. Demo ingests Amazon shareholder letters and answers specific queries correctly; ChatGPT is cited as ~175 billion parameters. Notes cost and performance: stuffing a half‑terabyte into the context window is impractical, ingestion runs out of memory, and production fixes include async iterators and worker threads or S3 + queue consumers for scalable ingestion.
AI-written summary · about
chapters (8)
- 0:00Building a custom ChatGPT-like bot
- 1:08Understanding LLMs
- 5:44LLM building blocks
- 12:11Designing RAG architecture
- 16:30Code walkthrough
- 19:24Live demo with Amazon letters
- 22:13Scaling for performance
- 24:47Summary
related talks
01h 12mBuild Your Own AI Chatbot with OpenAI & LangChain
58mDemystifying GenAI: Build a ChatGPT App with Vector Store
51mEvent Driven AI: Supercharging ChatGPT with RAG & LangStream
25mFrom Prompt to Production: Building Autonomous AI Agents in Node.js
51mA ChatGPT on your own data: how does it work?
48mBuilding AI Powered Applications with Java
34mBuilding a Custom AI Chatbot with Spring Boot, React, and LangChain4j
39mBuilding Your Own Bot with GPT: Harnessing the Power of AI...
