Redis

- The decorator checks if the response is already cached in Redis. - If cached, it returns the cached response. - If not cached, it generates the response, caches it, and returns it. 3. **Apply the Decorator**: - Apply the `@ca…

print("Top results based on combined ranking:") for idx in combined_top_indices: print(documents[idx]) ``` ### Explanation 1. **Sparse Vector Handling:** - Use `TfidfVectorizer` to convert documents into sparse vectors. - Comput…

print(f"Cache lookup time: {time.time() - start_time} seconds") ``` ### Explanation 1. **Retry Mechanism**: The `wrapper` function attempts to access the cache up to three times with a one-second delay between retries. 2. **Fallback Mecha…

# Simulate cache lookups start_time = time.time() latencies = [] for _ in range(14000): start_query_time = time.time() result = search_query("example") end_query_time = time.time() latencies.append(end_query_time - start_que…

def __init__(self, id, metadata, retrieval_time, expected_metadata): self.id = id self.metadata = metadata self.retrieval_time = retrieval_time self.expected_metadata = expected_metadata self.meta…

### 2. **Implement Approximate String Matching** - **Levenshtein Distance**: Using Levenshtein distance for approximate string matching can be more efficient than brute-force methods, especially when combined with pruning techniques to l…

redis_client.setex(key, ttl, json.dumps(result)) def get_cached_query(query): """ Retrieve the cached query result. """ key = NAMESPACE + query cached_result = redis_client.get(key) if cached_result: ret…