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[csmangum]

This pull request introduces several updates to the memory vector storage logic, search strategies, and validation test suites. Key changes include refactoring the vector storage method, improving test coverage for similarity search, and simplifying the validation documentation. Below is a breakdown of the most important changes:

Memory Vector Storage Refactor:

• Simplified the store_memory_vectors method by removing the nested store_vector function and directly handling vector storage operations for each memory tier (stm, im, ltm). Added error handling for invalid tiers.
• Updated load_memory_system_from_json to explicitly call store_memory_vectors with the appropriate tier for each memory entry.

Search Strategy Improvements:

• Minor formatting fixes for logging statements in search and _generate_query_vector methods to improve readability. [1] [2] [3] [4]
• Added placeholders for future use of the logger in similarity.py.

Validation Documentation Updates:

• Removed performance testing sections from the validation.md file, focusing solely on functional and edge case validation. [1] [2] [3]

Similarity Search Test Suite Enhancements:

• Adjusted test cases in similarity_test_suite.py to refine expected results, thresholds, and metadata filters. [1] [2] F93fb09bL156R157, [3] [4] [5]
• Added new test scenarios for memory tier transitions, complex metadata filtering, and content structure variations. Introduced a unified run_all_tests method to execute all test suites and display a summary.

Code Cleanup:

• Removed unused imports in similarity_test_suite.py to streamline the code.