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: