Autocomplete or Follow Up suggestions
Autocomplete User Queries
LeenaAI provides an intuitive query auto-completion feature, akin to what users experience when typing into Google's search bar. This functionality enhances user interaction by predicting and completing user queries based on the documents specified within the defined scope of the system.
Here's how it works:
- Basis of Prediction: The system leverages a comprehensive knowledge base where various types of questions are cataloged. When a user begins typing a query, LeenaAI matches the initial words of the query against this database.
- Matching Process: Through sophisticated pattern recognition, the system identifies the most relevant questions from the knowledge base that start with or closely resemble the user's input.
- User Interface: The top three matching questions are displayed to the user in real-time. This gives the user the option to either select one of these auto-completed queries or continue typing their own full query. This approach not only speeds up the query process but also helps in guiding users towards precise information retrieval.
Follow-up Recommendation
After responding to a user's query, LeenaAI extends the interaction by recommending further inquiries that could be relevant. This feature is designed to deepen user engagement and provide a more comprehensive exploration of topics.
Here’s the breakdown of this process:
-
Contextual Analysis: Following the response to an initial query, LeenaAI analyzes the context passed through its RAG pipeline. This context includes the specifics of the user's question and the content of the response.
-
Relevance Determination: Based on the context, the system identifies additional sections or chunks of information within its database that are pertinent to the current conversation thread.
-
Generation of Follow-up Questions: Using the relevant sections identified, LeenaAI generates potential follow-up questions. These recommendations are crafted to guide users towards related topics or more detailed aspects of the initially queried subject, thereby enriching the user's knowledge journey.
Summary
Both functionalities, query auto-completion and response recommendation, are integral to creating a seamless, efficient, and engaging user experience with LeenaAI, ensuring that users can navigate through information with ease and depth.
Updated 6 days ago
