How It Works
Your content is split into chunks, converted into embeddings, stored for search and retrieved when a user asks a question.
Guide
A RAG chatbot answers questions by first searching your documents or knowledge base, then using AI to generate a response from the relevant information.
Your content is split into chunks, converted into embeddings, stored for search and retrieved when a user asks a question.
It gives answers based on your own content instead of relying only on general AI knowledge.
FAQs, policy search, product manuals, support documents, internal knowledge bases, service pages and reports.
RAG still needs good source documents, clear data preparation and proper testing before business use.