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Chatbot fundamentals

How AI chatbots work in plain language: retrieval on your own content, training data, accuracy, human handover, languages and the limits to plan for.

Pipeline of a RAG chatbot: question, retrieval over your content, generation from the passages, answer or a decline
Chatbot fundamentals
954 views

A RAG chatbot answers in two steps: it retrieves the passages of your own content that match the question, then writes an answer from those passages only, declining when nothing matches. This guide walks one question through both steps, explains chunks, embeddings and keyword search in plain words, lists the ways retrieval still fails on a real store and the content fix for each, and shows how to test it.

Chat widget answering a French shipping question and a Portuguese follow-up in each visitor's language
Chatbot fundamentals
761 views

A multilingual AI chatbot does four separate things: detects the language of each message, retrieves the answer from content that may be written in another language, writes the reply in the visitor's language, and switches the widget's own labels. This guide explains how each step works, where it breaks (short messages, product names, mixed-language chats), what you configure, and how to test it before launch.

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