A method where AI processes a user's query with direct reference to the current page content.
Page Aware Query Processing is the process of understanding and answering a query with reference to the specific content of the page being viewed. It is often combined with contextual retrieval and prompt engineering to deliver highly accurate answers.
This capability powers the AI Search Bar and is part of our features toolkit.
It incorporates live page specific content into the AI’s reasoning process unlike generic queries that rely solely on pre trained or static knowledge bases.
Yes, especially when paired with live page context embedding it can adapt in real time.
A specific piece of data or instruction sent by a chatbot or received by it to trigger a certain action.
A systems challenge where every one of N tools must be integrated with every one of M models or agents, leading to exponential complexity.
Language models enhanced with external knowledge sources, such as embeddings or vector databases, to improve performance in tasks like retrieval and question answering.
A measure of how well a website is prepared for AI agents to discover, understand, and interact with its content.
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