What is Semantic Search?
Search that understands the meaning behind your query rather than just matching exact words.
Why It Matters
Semantic search delivers more relevant results because it understands intent, not just keywords.
Real-World Example
Searching for 'affordable places to eat' and finding results about 'budget restaurants' and 'cheap dining'.
“Understanding terms like Semantic Search matters because it helps you have better conversations with developers and make smarter decisions about your software. You do not need to be technical. You just need to know enough to ask the right questions.”
Related Terms
Embeddings
A way of representing words, sentences, or other data as lists of numbers that capture their meaning.
Vector Database
A database designed to store and quickly search through embeddings, which represent data as lists of numbers.
Full-text Search
Searching through the complete text content of documents, not just exact matches on specific fields.
Fuzzy Search
Search that finds results even when the search query contains typos or approximate matches.
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Related Terms
Embeddings
A way of representing words, sentences, or other data as lists of numbers that capture their meaning.
Vector Database
A database designed to store and quickly search through embeddings, which represent data as lists of numbers.
Full-text Search
Searching through the complete text content of documents, not just exact matches on specific fields.
Fuzzy Search
Search that finds results even when the search query contains typos or approximate matches.
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Transformer
A type of AI architecture that processes text by paying attention to relationships between all words at once, rather...