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futures = {executor.submit(vectorize_document, doc): doc for doc in docs} for future in as_completed(futures): try: vectors.append(future.result()) except Exception as e: print(f"Error processing document: {e}") return vectors # Example usage docs = ["Actual document text 1", "Actual document text 2", ...] # Replace with actual documents max_workers = 10 # Adjust based on your system's capabilities vectors = vectorize_documents(docs, max_workers=max_workers) print(vectors) ``` ### Next Steps 1. **Replace Placeholder Data**: - Replace the placeholder documents with your actual documents. 2. **Test the Pipeline**: - Test the pipeline to ensure it handles errors and retries correctly. - Verify that the system can handle 3,500 documents per hour with under 200ms processing time. 3. **Monitor Performance**: - Monitor the system to ensure it achieves the desired performance. - Use monitoring tools to track resource usage and identify any bottlenecks. ### Example Usage Ensure you replace the placeholder documents with your actual data: ```python import numpy as np