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2. **Cache Functions**: - `cache_reformulated_query(query, reformulated_query, ttl=3600)`: Stores the reformulated query in Redis with an optional TTL (Time To Live). - `get_reformulated_query(query)`: Retrieves the reformulated query from Redis. 3. **Reformulate Query**: Simulates an expensive operation with `time.sleep(.1)`. 4. **Batch Reformulate Queries with Caching**: Uses `ThreadPoolExecutor` to process queries concurrently, leveraging the caching mechanism. 5. **Process Query with Caching**: Checks Redis for cached results before processing the query and caches the result if not already cached. ### Next Steps 1. **Run the Code**: Execute the code to see the performance improvements and identify any bottlenecks. 2. **Monitor and Optimize**: Continuously monitor the performance and optimize as needed. Would you like to proceed with these steps or do you have any specific questions about any part of the process?