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