Using cognitive search

Puzzel's Knowledgebase uses cognitive search which is a semantic search, unlike keyword search. It works really well on set of words explaining what you are looking for instead of a single word. Here is an explanation of the difference:

Typical Keyword Search 

"Exact words matching"

Looks for article that exactly match the keywords you type without any meaning or understanding of the context.

If you search for:

"Best places to eat pizza New York"

A keyword search engine looks for pages with exact matches like:

• "best"
• "places"
• "eat"
• "pizza"
• "New York"

Even if the article says "Top restaurants serving pizza in NYC" — if it doesn't have your exact words, it might not show up.

Semantic Search

"Understands the meaning behind your query."

• Uses Natural Language Processing (NLP) & AI.
• Understands synonyms, context, intent.
• Looks for conceptually similar content — not just exact matches

If you search for the same exact text as above:

"Best places to eat pizza New York"

Semantic search might also show pages that say:

• "Top-rated pizzerias in NYC"
• "Where to find delicious pizza in Manhattan"
• "Popular New York pizza joints locals love"

Even though the words aren’t exact, it understands you're looking for pizza recommendations in NYC.