I appreciate the AI's ability to handle natural language queries; it's a step forward in making searches more user-friendly.
However, the speed of document retrieval is slow, which can be frustrating when I need quick answers.
It helps me find academic papers faster than manual searches, but I often still need to verify the relevance of the results.
I think the idea of a personalized search engine is fantastic; it feels tailored to my needs.
Unfortunately, it lacks depth in its database, which limits the variety of documents I can access.
It helps me in gathering initial research materials, but I often need to cross-check with other databases for comprehensive results.
The ability to ask questions naturally is a huge plus; it feels less mechanical than traditional search engines.
However, it could benefit from a more user-friendly interface; sometimes, it's hard to navigate through the results.
It helps me save time during research by quickly narrowing down relevant papers, which is invaluable for my studies.
The concept of conversational queries is intriguing and can potentially simplify searches.
However, the execution is lacking; it often fails to understand context and provides irrelevant documents.
While it aims to assist with document retrieval, I find myself spending more time filtering through its results than I would using traditional search methods.
The tool's conversational interface makes it easy to use, especially for those not comfortable with traditional search engines.
Occasionally, it misinterprets my queries, leading to irrelevant document suggestions.
It streamlines my research process significantly, allowing me to focus on analyzing information rather than searching for it.