The ability to predict brain activity from words before they occur can be explained by information shared between neighbouring words, without requiring next-word prediction by the brain.
Microsoft's Bing team has open-sourced Harrier, an embedding model family that tops the multilingual MTEB v2 benchmark under an MIT license.
This module provides semantic search functionality for products using Azure OpenAI embeddings. It generates embeddings for user queries and finds similar products using pgvector cosine similarity.
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