Selective search partitions large scale dataset into subsets(shards) such that only few shards needs to be searched for a query, thus improving search efficiency and effectiveness
What is the rajanim/selective-search GitHub project? Description: "Selective search partitions large scale dataset into subsets(shards) such that only few shards needs to be searched for a query, thus improving search efficiency and effectiveness". Written in Java. Explain what it does, its main use cases, key features, and who would benefit from using it.
Question is copied to clipboard — paste it after the AI opens.
Clone via HTTPS
Clone via SSH
Download ZIP
Download master.zipReport bugs or request features on the selective-search issue tracker:
Open GitHub Issues