Hot news: WPSOLR is investigating Metarank Labs as its first re-ranking / personalization / recommendations engine

Table of Contents

** Why Metarank ? **
– Their great presentation at Berlin Buzzwords: https://lnkd.in/eqifGvjH
– Recommendations, personalization, and re-ranking
– Modern with ML models like cross-encoders
– Plenty of algorithms ready-to-use
– Open-source https://www.metarank.ai/
– Well documented
– Can work with or without user signals
– Self-hosted, which is great for privacy
– Production ready on Kubernetes with Redis
– REST API and real-time integrations to send data https://lnkd.in/e4eHCMnx
– Automatic model retraining
– Already works with Opensearch https://lnkd.in/ebmuDHFb

** Benefits for WPSOLR users **
We can make Metarank work with all the search engine already integrated in WPSOLR.
Metarank could therefore, with a single setup, re-rank/personalize search results for Elasticsearch, Opensearch, Apache Solr, Google Retail, and Weaviate.

WPSOLR: https://wpsolr.com
Metarank: https://www.metarank.ai/
Metarank live demo: https://demo.metarank.ai/

#wpsolr #metarank #recommendationsystems #reranking #elasticsearch #opensearch #apachesolr #weaviate

Read more related content

An In-Depth Look at Weaviate: 10 Key Features

Introduction Weaviate is an open-source, cloud-native, and vector-based knowledge graph that empowers developers to build intelligent applications with natural language processing (NLP) capabilities. It utilizes