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Engineering Glossary

What is Vector Embeddings?

Mathematical representation of text for semantic search.

Definition

The process of converting unstructured data (PDFs, logs, emails) into high-dimensional arrays of numbers (vectors). This allows AI systems to understand the semantic meaning and relationship between concepts, powering RAG systems.

Key Benefits

Semantic retrieval
Unstructured data unlocking
Multi-modal search