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[2026-02-18 10:45] lisamegawatts: teams be teams everywhere you go, i loved this back and forth between ml team and dev team (files: image.png) [2026-02-19 18:06] traves_theberge: (files: HBhXt3aW4AEz7wV.png) [2026-02-19 19:47] traves_theb…

2. **Optimize TTL Settings**: Ensure that TTL settings are optimized for your use case. Too short a TTL can lead to frequent cache misses, while too long a TTL can cause stale data. 3. **Use Redis Commands Efficiently**: Use Redis commands …

redis_client = redis.Redis(connection_pool=pool) # Define the caching function def cache_embeddings(query, embeddings, ttl=3600): """ Cache the embeddings in Redis with a TTL. :param query: The query string used as the key…

print(f"Retrieved embeddings: {retrieved_embeddings}") ``` ### Explanation 1. **Data Serialization**: - Use `msgpack` for efficient serialization and deserialization of embeddings. This reduces the memory footprint and improves perform…

- Use `SETNX` (Set if Not Exists) to set a key with a unique identifier (e.g., a UUID or a timestamp). - Optionally, set an expiration time to avoid deadlocks. 2. **Release the Lock**: - Use `DEL` to remove the key when the operat…

pipeline.get(key) # Execute the pipeline and get the results results = pipeline.execute() # Print the results for key, result in zip(keys, results): print(f'{key}: {result}') ``` ### Explanation 1. **Connect…

Here's an example demonstrating how to use pipelining for both reading and writing operations: ### Example Setup Assume you have a Redis instance running locally on the default port (6379). You want to set multiple keys and then fetch the…

- Use `setex` to cache the tokens with an expiration time. - This ensures that the cache is refreshed periodically. 4. **Retrieve Cached Tokens**: - Retrieve the cached tokens using `get`. - Deserialize the tokens from JSON usi…