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🔍 Pivot Engine - Embedding Model (Retrieval Encoder)
This repository contains the embedding model used in the Pivot Engine retrieval pipeline.
It is responsible for converting raw text into dense vector representations for downstream retrieval and ranking tasks.
🧠 What’s Included
🔹 Embedding Model
embeddings_model.pt→ Trained encoder model that converts text into vector embeddings
⚙️ How It Works
The embedding model transforms user queries and product text into semantic vectors:
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