#554 Add new Moss local benchmarks

Pull Request Checklist

Please ensure that your PR meets the following requirements:

• I have read the CONTRIBUTING guide.
• I have updated the documentation (if applicable).
• My code follows the style guidelines of this project.
• I have performed a self-review of my own code.
• I have added tests that prove my fix is effective or that my feature works.
• New and existing unit tests pass locally with my changes.

Description

Adds new benchmarks for Moss vs others for local only performance.

N/A

Type of Change

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update
• Updated/added new benchmarks

Summary by CodeRabbit

• New Features

  • Added reproducible local and cloud semantic-search benchmark suites.
  • Added dataset download, preparation, validation, ground-truth generation, and embedding workflows.
  • Added comparisons across multiple vector-search engines, datasets, metrics, filtering scenarios, scaling, and tuning configurations.
  • Added automated HTML and Markdown reports with charts, tables, latency, recall, memory, build-time, and disk-usage results.
  • Added watchdog support for monitoring benchmark runtime and resource usage.

• Documentation

  • Expanded benchmark setup, execution, methodology, interpretation, reproducibility, and engine-selection guidance.
  • Documented cloud comparisons for Moss, Pinecone, Qdrant, and ChromaDB.