RAG (Retrieval-Augmented Generation) is an AI approach that combines a language model (like ChatGPT) with real data from your website, database, or files to generate more accurate answers.
Instead of guessing, it retrieves relevant content from your knowledge base before answering.
📁 Step 1: Upload Your Data
Website content (HTML, text)
PDF, Word, Excel, CSV, JSON
Database exports (SQL, NoSQL)
📚 Step 2: Index & Embed
Split content into chunks
Convert text into vector embeddings
Store in a vector database (Pinecone, FAISS, etc.)