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Metarank

Free
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About

Metarank is an open-source ranking service designed to build personalized semantic/neural search and recommendations. It enhances existing search and recommendation systems by integrating customer signals like clicks and purchases to optimize for maximal CTR. Metarank tracks visitor profiles, allowing search results to adapt to user actions with real-time personalization. It leverages LLMs in bi- and cross-encoder mode for semantic search, understanding the true meaning of queries. Metarank is optimized for reranking latency, handling large result sets within 10-20ms, and scales horizontally as a stateless cloud-native service using Redis. It saves development time by computing dozens of typical ranking signals out of the box and offers integrations with various streaming processing systems. With Metarank, users can build semantic search, traditional and new-age recommendations, and implement Learning-to-Rank.

Platform
Web
Task
search personalizing

Features

real-time personalization

a/b testing for models

automated ml model retraining

personalized semantic/neural search

scalable cloud-native service

automated feature engineering

llm-based neural search

open-source ranking service

Pricing Plans

Open Source
Free Plan

Open-source access

Personalized search

Recommendations

Learning-to-Rank

Automated ML model retraining

Automatic feature engineering

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