| # 🔍 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. | |
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| ## 🧠 What’s Included | |
| ### 🔹 Embedding Model | |
| - `embeddings_model.pt` → Trained encoder model that converts text into vector embeddings | |
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| ## ⚙️ How It Works | |
| The embedding model transforms user queries and product text into semantic vectors: | |