ComponentInteraction

pipeline.add_documents(documents) # Run query query = "What is the meaning of life?" results = pipeline.run_pipeline(query) # Print retrieved documents for doc in results["documents"]: print(f"Document: {doc.content}") ``` ### Explan…

return {"status": "OK"} # Middleware to handle CORS app.add_middleware( CORSMiddleware, allow_origins=["*"], allow_credentials=True, allow_methods=["*"], allow_headers=["*"], ) ``` ### Step 6: Run the Application …

print(f"Error Reduction: {error_reduction:.2f}%") # Example usage integrate_and_validate(6000, 6000) ``` ### Explanation 1. **Tune the Model**: The `tune_model` function refines the complexity thresholds and resizes the context windo…

class ModelOptimizationStage(TuningStage): def tune(self, vectors): # Placeholder for model optimization logic return vectors class ComponentInteraction: def __init__(self, stages): self.stages = stages …

# placeholder tuning logic pass class ComponentInteraction: def __init__(self, stages): self.stages = stages def interact(self): # placeholder interaction logic pass # how to structure thes…

The `ComponentInteraction` class should manage the flow between the stages and ensure that the output of one stage is the input of the next. #### Step 3: Measure and Validate Include metrics to measure the inconsistencies and validate the…

ModelEvaluationStage(vector_count), ModelOptimizationStage(vector_count) ] component_interaction = ComponentInteraction(stages) tuned_vectors = component_interaction.interact(original_vectors) component_interaction.validate_result…

6. **ConcurrencyManager**: Manages concurrency and parallel processing using `ThreadPoolExecutor`. ### Step 4: Optimize for High Throughput To handle 18,000 updates per hour efficiently: - **Use Efficient Data Structures**: Use Redis ha…