Why Ctrl+F is Broken: The Failure of Traditional Search

We've all been there: you know the report exists. You just can't remember the filename.

Traditional search pdf documents tools are literal. They look for exact character matches. If you search for "climate change," they miss "global warming." They miss "carbon mitigation." They miss the concept.

The $1.7 Million Cost of "Searching"

This friction adds up. Studies show that knowledge workers spend an average of 1.8 hours daily looking for information. For an organization of just 100 people, that inefficiency costs roughly $1.7 million annually.

In policy research, this is critical. Analysts drown in "information overload," unable to synthesize the vast amount of reading required to stay current.

Semantic Search: Understanding, Not Matching

Search documents with AI is fundamentally different. It uses vector embeddings to understand the meaning of your query. It knows that "fiscal policy" and "government spending" are semantically related.

This allows for "Question Answering" rather than "Document Finding." You stop searching for files and start searching for answers.