{"data":{"slug":"text-embedding-3","etype":"model","name":"OpenAI text-embedding-3","cat":"Embedding","subtitle":"The vectors under most RAG systems.","summary":"Embedding models turn text into vectors for search and retrieval — the invisible workhorses of RAG. OpenAI's text-embedding-3 family (January 2024) with Matryoshka-style shortening is the most widely deployed commercial line; open alternatives from the MTEB leaderboard trail closely.","attrs":null,"kf":{"params":"Not publicly disclosed","weights":"Closed","modality":"Text → vectors","rel_date":"2024-01","developer":"OpenAI"},"aliases":["embeddings","text-embedding-3-large"],"ticker":null,"exchange":null,"hq":null,"founded":null,"website":null,"status":"Current","region":null,"asof":"2026-01-15","sources":[{"url":"https://platform.openai.com/docs/guides/embeddings","label":"OpenAI embeddings"}]},"meta":{"found":true,"count":1,"served_from":"site cache (no live upstream calls)","as_of":"2026-10-14T09:46:24+00:00","disclaimer":"Research and information only — not investment advice. Structured records carry basis labels (vendor spec / reported / estimate); market quotes are delayed/indicative.","attribution":"Records compiled from vendor documentation, official filings and reputable public reporting; market quotes via financial data providers. See /data-sources."}}