Refactor/optimize embedding module#207

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refactor/optimize-embedding-module

Commits on Mar 30, 2026

refactor(embedding): encapsulate cache logic and apply template method pattern
mehmetcanay
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refactor(embedding): replace factory if-else ladder with static model registry
mehmetcanay
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perf(embedding): limit local model memory footprint with LRU cache
mehmetcanay
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fix(embedding): isolate OpenAI client and implement API batch chunking
mehmetcanay
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feat(embedding): implement batch chunking for local Ollama requests
mehmetcanay
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test(embedding): add coverage for registry factory, API chunking, and isolated clients
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refactor(test): move embedding tests to a dedicated sub-package
mehmetcanay
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Commits on Apr 1, 2026

refactor: add strict type and value validation
mehmetcanay
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