Release V2.3.0

What's New

• Filters to Identify Near-Neighbor Groups (FLINNG):

  • Integrated a new indexing and similarity search library (FLINNG) that addresses the computational challenges of high-dimensional similarity search by presenting an index with fast construction time, low memory requirement, and zero query-time distance computations
  • Instructions are provided (https://github.com/IntelLabs/vdms/wiki/FLINNG-Library-and-Performance-Details)

• Periodic backup (Auto-replication):

  • Users can automatically backup db folder of VDMS periodically and restore the database as needed
  • Instructions are provided (https://github.com/IntelLabs/vdms/wiki/VDMS-Backup-and-Restoring-Options)

• Kafka Connectors:

  • We are moving towards distributed VDMS and have provided Kafka connectors, configurations, instructions, and examples to use VDMS in a distributed manner leveraging Kafka
  • Instructions are provided (https://github.com/IntelLabs/vdms/wiki/Run-Kafka-VDMS-Example)

• Video Improvement

  • Addressed memory leak in video command

• Independent C++ Client:

  • Ability to build client independently without building VDMS server