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M2M Vector Search v2.0.2 - Bug fixs

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@schwabauerbriantomas-gif schwabauerbriantomas-gif released this 13 Mar 17:29
· 54 commits to main since this release
2.0.2
dd6daa0
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Learn about vigilant mode.

Added
Premium Visualization Assets: Replaced legacy charts with 6 ultra-premium, dark-themed dashboard assets:
performance_overview.png: Metric dashboard (QPS, Latency, Ingestion, Memory).
throughput_comparison.png: 2.18x speedup visualization vs. Linear Scan.
latency_distribution.png: Detailed percentile breakdown.
architecture_overview.png: 4-layer glassmorphism diagram.
dataset_statistics.png: Vector dimensionality and memory profile.
test_coverage.png: CI/CD status with 100% pass rate.
Changed
README Documentation:
Validated and updated all performance metrics with real DBpedia 1M dataset results.
Corrected license badges and mentions from Apache 2.0 to GNU AGPLv3 to match the repository's LICENSE file.
CI/CD & Code Quality:
Fixed Ruff linting errors (F541 f-string without placeholders) across the test suite.
Applied strict black and isort formatting to test_complete_validated.py for pipeline compliance.
Removed
Deleted 7 obsolete visualization assets from the assets/ directory to reduce repository size.

Assets 2
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