A search method where the AI uses the meaning and context of the current page to answer queries.
Contextual Page Search is a technique where the AI uses natural language understanding and semantic search to interpret a query in relation to the content on the current page.
It enhances the performance of tools like the AI Search Bar and supports contextual prompt injection for accurate and highly relevant results. Available in our features package.
By combining page context awareness with semantic retrieval it ensures the AI answers in direct relation to the current page content.
Yes, but its primary strength is in page accuracy. For multi page relevance it can be combined with vector databases.
A mechanism for controlling how frequently users or agents can make API requests to prevent abuse and ensure fairness.
A search method that uses embeddings to understand the meaning behind queries and documents, enhancing retrieval relevance.
The process by which AI systems produce replies or actions in response to user input.
A metaphor for universal, plug-and-play standards in AI—enabling effortless compatibility between models, tools, and platforms.
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