Yes, many document management systems and search engines allow you to find documents based on both keywords and topics. Keywords are specific words or phrases literally present in the document's content or metadata (like title, author). Topic-based search often goes beyond exact matches, attempting to understand the main subject or concept covered in the document, even if the specific keywords describing the topic aren't used verbatim. Techniques like semantic analysis and machine learning help systems group documents by topic.

For example, in an enterprise document management system like Google Drive or SharePoint, you can enter keywords like "Q3 budget forecast" to find specific files. Researchers often use topic-based search in databases like PubMed, searching broadly for "cardiovascular disease treatments" to retrieve articles covering various aspects of the topic, not just those containing that exact phrase. Legal professionals use specialized tools to locate case law documents relevant to specific legal topics.

Using keywords offers precise control but may miss contextually relevant documents. Topic-based search improves recall by finding conceptually similar documents but may occasionally include less relevant ones. Advancements in AI are enhancing topic understanding, leading to more accurate and intuitive search experiences. This capability significantly boosts productivity by helping users quickly locate relevant information without knowing exact file names or specific keywords.