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SFR Embedding Mistral

Developed by Salesforce
A text embedding model developed by Salesforce Research, trained on E5-mistral-7b-instruct and Mistral-7B-v0.1, primarily used for text retrieval tasks.
Downloads 34.75k
Release Time : 1/24/2024

Model Overview

This model is a text embedding model based on the Mistral architecture, focusing on improving performance in text retrieval tasks. Enhanced through transfer learning techniques, it is suitable for various information retrieval scenarios.

Model Features

Efficient Retrieval Capability
Optimized for text retrieval tasks, capable of efficiently matching queries with relevant documents
Long Text Processing
Supports text inputs of up to 4096 tokens, suitable for processing longer documents
Transfer Learning Enhancement
Trained on E5-mistral-7b-instruct and Mistral-7B-v0.1, delivering superior performance

Model Capabilities

Text Embedding Generation
Semantic Similarity Calculation
Information Retrieval
Document Matching

Use Cases

Information Retrieval
Web Search
Match user queries with webpage content to return the most relevant results
In the example, high matching scores between queries and relevant paragraphs are displayed
Knowledge Base Q&A
Retrieve the most relevant answer passages from a knowledge base based on questions
Content Recommendation
Related Article Recommendation
Recommend semantically similar articles based on user reading content
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