ai-engineer-what-are-embeddings-semantic-search


id: ai-engineer-what-are-embeddings-semantic-search aliases: [ ] tags: - roadmap - ai-engineer - ai-engineer-what-are-embeddings - ready - –

# ai-engineer-what-are-embeddings-semantic-search

## Contents

__Roadmap info from [ roadmap website ] (https://roadmap.sh/ai-engineer/semantic-search@eMfcyBxnMY_l_5-8eg6sD) __

  ## Semantic Search

  Embeddings
  are
  used
  for
  semantic
  search
  by
  converting
  text, such as queries and documents, into high-dimensional vectors that capture the underlying meaning and context, rather than just exact words. These embeddings represent the semantic relationships between words or phrases, allowing the system to understand the query’s intent and retrieve relevant information, even if the exact terms don’t match.

Learn more from the following resources: