Loading the RAG walkthrough?
A visual journey through the Retrieval-Augmented Generation pipeline, revealing how AI models ground their answers in your data.
Retrieval-Augmented Generation fetches relevant docs from your knowledge base and injects them into the LLM prompt—giving AI verified facts instead of stale training data.
User enters a question
Live inspection of the active RAG step
53 chars
~14 tokens
"How should we troubleshoot SSO provisioning failures?"
Follow the exact system I refined while leading RAG architecture at Pinecone. The premium tutorial includes the notebook that preprocesses your data, the Next.js app that ships to Vercel, and direct email support when you hit edge cases.