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Finalize triplet store refactoring and documentation updates
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@@ -336,11 +336,11 @@ def extract_entities(
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#### ⚡ Performance and Latency
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We deeply value efficiency. Contributions that make Semantica faster and lighter are highly appreciated!
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- **Latency Reduction**: Optimizing critical paths, reducing function call overhead, and improving response times for RAG pipelines.
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- **Memory Optimization**: Reducing memory footprint during graph processing and vector operations.
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- **Throughput**: Improving the number of operations processed per second (e.g., bulk ingestion, parallel queries).
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- **Benchmarks**: Adding performance benchmarks to track regressions.
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- **Async/Concurrency**: Improving asynchronous execution and concurrency handling.
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- **Latency Reduction**: Optimize critical paths and RAG pipeline response times.
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- **Memory Optimization**: Reduce graph/vector processing memory footprint.
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- **Throughput**: Improve operations per second (bulk ingestion, parallel queries).
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- **Benchmarks**: Add performance benchmarks to track regressions.
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- **Async/Concurrency**: Enhance asynchronous execution and concurrency.
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### 📚 Documentation Contributions
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