Building a RAG Chatbot with Pinecone and OpenAI: An Engineer's Guide
AILearn how to build a production RAG chatbot using Pinecone vector database, OpenAI embeddings, and Next.js. Complete guide with code examples and solutions.
30 min read
Rockwell Windsor Rice is a senior full-stack engineer with 10+ years building production Rails and Next.js applications for SaaS companies and government systems. He's maintained 15+ production applications as solo engineer at Levee Labs, modernized mission-critical APIs serving 100,000+ veterans daily on VA Lighthouse, and taught 200+ students as Udacity Front-End instructor. Based in Madison, Wisconsin. He is proficient working with production systems using Ruby on Rails and NextJS.
In his spare time he can be found playing classical guitar or having fun with his best buddies and .
* You can chat with whichever puppy is present by trying out the AI chatbot I built in the lower right - chat with Gus or Mitch! Each has a distinct personality powered by RAG (Retrieval-Augmented Generation) and Claude API. Built with Next.js and TypeScript. Read all about it here