AI Trace
Data AnalysisConsumer FacingVerified

Reviewed and published by trentmaziarz, April 8, 2026. Discovered and drafted by our automated research pipeline.

AI Trace uses AI to power its search function so that results are matched by meaning rather than exact word overlap — for example, a search for 'AI voice acting' can surface results described as 'synthetic speech in games.'

Details

The platform converts every company profile and practice entry into a vector embedding using OpenAI's text-embedding-3-small model. When a user searches, the query is converted into the same format and compared against stored embeddings using cosine similarity. This runs alongside traditional keyword matching and fuzzy text matching. Embeddings are generated once per content update and stored in the database. The embedding model does not retain or train on user queries.

Products affected

AI Trace search

Sources & Evidence

Cite this record

Trace Foundation. (2026). Trace Foundation: AI Trace uses AI to power its search function so that results are matched by meaning rather than exact word overlap — for example, a search for 'AI voice acting' can surface results described as 'synthetic speech in games.' (data as of 2026-04-08) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/84b9bffd-ea0f-4518-ae26-6432649175a5. Accessed October 10, 2026.

Stable link
https://www.aitrace.org/r/practice/84b9bffd-ea0f-4518-ae26-6432649175a5
Data as of
April 8, 2026
Last verified
August 25, 2026

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