Documentation Grafana Cloud Monitor applications AI Observability VectorDB Observability

VectorDB observability

VectorDB Observability provides comprehensive monitoring for vector database performance, crucial for applications involving similarity searches, semantic search, and RAG (Retrieval-Augmented Generation) systems.

Overview

The VectorDB Observability dashboard monitors vector database operations and performance:

• Performance monitoring - Query latency and throughput analysis
• Operations analytics - Database operation success rates and patterns
• Resource tracking - Infrastructure utilization and capacity planning
• Service health - Database availability and instance performance monitoring

Key features

Query performance

• Response times - Average, median, and percentile latency tracking
• Throughput - Queries per second and concurrent operation monitoring
• Success rates - Percentage of successful vs. failed operations

Database operations

• Operation breakdown - Performance by operation type (search, insert, update, delete)
• Batch operations - Bulk operation performance and efficiency monitoring
• Index management - Index building, optimization, and maintenance metrics
• Data ingestion - Vector upload and processing rate tracking

Resource utilization

• Memory usage - Vector storage and operational memory consumption
• CPU utilization - Processing load during vector computations
• Storage usage - Database growth patterns and capacity planning
• Network I/O - Data transfer rates for distributed deployments

Getting started