Space Regulatory Glossary AI & Data Science

embedding

/ɪmˈbɛdɪŋ/ noun

1. A fixed-length numerical vector that represents the semantic meaning of a piece of text, image, or other data. Texts with similar meanings produce vectors that are close together in the embedding space, enabling similarity-based search and clustering.
2. Embedding models convert regulatory filings, rules, and public notices into vectors that can be indexed and searched. This allows queries like 'filings similar to this STA request' without requiring exact keyword matches.

Read: Vector Search and Embeddings for Regulatory Filings

Related terms

vector search A search technique that finds items by comparing the mathematical similarity of their embedding vectors rather than… retrieval-augmented generation An AI architecture that grounds a language model's output in retrieved source documents rather than relying solely on… large language model A neural network trained on large text corpora that generates, summarizes, and reasons about natural language. Models…

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