master:     dev:

Overview

Vearch is a scalable distributed system for efficient similarity search of deep learning vectors.

Architecture

• Data Model

  space, documents, vectors, scalars

• Components

  Master, Router and PartitionServer

• Master

  Responsible for schema mananagement, cluster-level metadata, and resource coordination.

• Router

  Provides RESTful API: create , delete search and update ; request routing, and result merging.

• PartitionServer (PS)

  Hosts document partitions with raft-based replication.

  Gamma`is the core vector search engine. It provides the ability of storing, indexing and retrieving the vectors and scalars.

Quick start

• Quickly build a distributed vector search system with RESTful API, please see docs/Deploy.md.

• Vearch can be leveraged to build a complete visual search system to index billions of images. The image retrieval plugin for object detection and feature extraction is also required. For more information, please refer to docs/Quickstart.md.

APIs and Use Cases

LowLevelAPI

• docs/APILowLevel.md

VisualSearchAPI

• docs/APIVisualSearch.md

License

Licensed under the Apache License, Version 2.0. For detail see LICENSE and NOTICE.