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Refactor documentation for consistency and clarity
- Updated performance descriptions across various documents to ensure uniformity.
- Enhanced readability by adding new lines in sections of the documentation.
- Improved section titles for better understanding of content in scaling strategies and batch scripts.
- Adjusted formatting in SQL query patterns for better alignment and readability.
- Made minor corrections in related patterns and recommendations in ML and database documentation.
- Enhanced PowerShell documentation with structured categories for better navigation.
- Improved JavaScript array methods documentation for clarity and usage examples.
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**Recommendation**: Use PostgreSQL with pgvector as your primary database, add Chroma for vector operations, and ClickHouse for analytics. This gives you the best balance of features, performance, and developer experience for ML development.
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**Recommendation**: Use PostgreSQL with pgvector as your primary database, add Chroma for vector operations, and ClickHouse for analytics. This gives you the best balance of features, performance, and developer experience for ML development.
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