# FAQ AI (Embedding) By utilizing embeddings, our chatbot can comprehend and respond to user inquiries with greater accuracy and relevance. Embeddings are dense vector representations of words or phrases that capture their meanings, relationships, and contexts. This allows the chatbot to go beyond keyword matching and understand the nuances of natural language. When a user asks a question, the chatbot can match the query with the most relevant pre-trained responses or FAQs by comparing their embeddings, ensuring precise and contextually appropriate answers. This results in a more intuitive and efficient user experience, as the chatbot can handle a wide range of questions and provide accurate information quickly. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://help.mampuai.com/mampu-ai/artificial-intelligence/openai-or-chatgpt/faq-ai-embedding.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.