Tag: Embedding

6 items found

Glossary Terms

Chunking splits long text into meaningful, manageable passages that search and RAG systems can retrieve accurately.

An embedding represents text, images, products, or other data as numeric vectors that can be compared for semantic similarity.

A recommendation engine ranks products, content, or actions for each user based on behavior, item features, and context.

Reranking re-scores an initial result set with a stronger model so the most relevant documents move to the top reliably.

Semantic search finds relevant results by comparing the meaning of queries and content, not only matching exact keywords.

A vector index speeds up similarity search by organizing embeddings so nearest neighbors can be found efficiently at scale.