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Mxbai Rerank Base V1
M
Mxbai Rerank Base V1
Developed by khoj-ai
This is a Transformer-based Reranker model primarily used for information retrieval and search result optimization tasks.
Downloads 81
Release Time : 1/21/2025
Model Overview
This model is implemented using the Transformer architecture and can reorder search results to improve relevance. Suitable for scenarios requiring optimized ranking such as search engines and Q&A systems.
Model Features
Efficient Reordering Capability
Can quickly and effectively reorder search results to improve relevance.
Transformer-based Architecture
Utilizes advanced Transformer architecture for high-quality semantic understanding.
Supports Transformers.js
Can be run in browser environments using Transformers.js.
Model Capabilities
Search Result Reordering
Semantic Relevance Assessment
Information Retrieval Optimization
Use Cases
Search Engines
Search Result Optimization
Reorders search engine results to improve the ranking of the most relevant results.
Enhances user search experience and click-through rate.
Q&A Systems
Answer Ranking
Reorders candidate answers to place the most likely correct answer at the top.
Improves the accuracy of Q&A systems.
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