Initial VectorDB Benchmark for MLPerf Storage V3

[idevasena]

This commit is for VectorDB Benchmark implementation that allows you to benchmark and compare the performance of vector databases with current support for Milvus, DiskANN and HNSW indexing support and others planned.

The benchmark process consists of three main steps:

• Loading vectors into the database
• Monitoring and compacting the database
• Running the benchmark queries

Detailed steps for setup and running benchmark are present in the README here: https://github.com/mlcommons/storage/pull/220/files#diff-c554ca2de4b3b7db86d7eb2b9c840e51edc6be7afe49bafe52dc95ce71969933

The PR also integrates unit test suite for the vdb_benchmakr vector database benchmarking tool.
It provides coverage for all components of vdb-bench, including:

• Configuration management
• Database connections
• Vector generation and loading
• Index management
• Benchmarking operations
• Compaction and monitoring
• Performance metrics

Steps for running tests are present in the README here: https://github.com/mlcommons/storage/pull/220/files#diff-81f21bcb7d8cc604d135ef7b76a21e6aea402ee31251c6cccf5b3665bc8320de

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[wvaske]

Looks good to me.