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SPTAG

A distributed approximate nearest neighborhood search library by Microsoft
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What is SPTAG?

SPTAG (Space Partition Tree And Graph) is a library for large scale vector approximate nearest neighbor search scenario released by Microsoft Research (MSR) and Microsoft Bing.
SPTAG is a tool in the Search Tools category of a tech stack.
SPTAG is an open source tool with 4.7K GitHub stars and 570 GitHub forks. Here’s a link to SPTAG's open source repository on GitHub

Who uses SPTAG?

Companies

SPTAG Alternatives & Comparisons

What are some alternatives to SPTAG?
Algolia
Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.
Solr
Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.
Elastic
Elastic is an Elasticsearch client for the Go programming language.
Dejavu
dejaVu fits the unmet need of being a hackable data browser for Elasticsearch. Existing browsers were either built with a legacy UI and had a lacking user experience or used server side rendering (I am looking at you, Kibana).
Mirage
The Elasticsearch query DSL supports 100+ query APIs ranging from full-text search, numeric range filters, geolocation queries to nested and span queries. Mirage is a modern, open-source web based query explorer for Elasticsearch.
See all alternatives

SPTAG's Followers
8 developers follow SPTAG to keep up with related blogs and decisions.