How to Build a Custom AI Chatbot on Your Own Data (RAG)
Table of Contents Why Static AI Isn't Enough Anymore What is Retrieval-Augmented Generation (RAG)? The Core Components of a Custom RAG Pipeline Step-by-Step Guide: Build a Custom AI Chatbot on Your Own Data Step 1: Prepare Your Proprietary Knowledge Base Step 2: Generate Vector Embeddings Step 3: Store Embeddings in a Vector Database Step 4: Query the System and Retrieve Context Step 5: Generate the Final Response with an LLM Frequently Asked Questions (FAQ) Why Static AI Isn't Enough Anymore You’ve likely asked ChatGPT a highly specific question about your business, a private document, or internal code, only to receive a generic, unhelpful answer. Out-of-the-box Large Language Models (LLMs) are incredibly smart, but they suffer from a major limitation: they don't know your data. They are frozen in time, trained on public internet data, and prone to "hallucinating" facts when they don't know the answer. To solve this, you don't need to spend millions of d...