await

2. **Asynchronous Processing**: Use asynchronous execution to handle multiple queries concurrently. 3. **Batch Processing**: Batch similar queries together to reduce overhead. 4. **Optimize Network Calls**: If the delay is due to network ca…

[Turn 5333] Assistant: Certainly! To scale your FastAPI application to handle increased traffic and meet your performance targets, you can follow several strategies. These include optimizing your code, using asynchronous operations, scaling…

Ensure Redis is installed and running. You can install Redis using package managers like `apt` or `brew`. ```sh # For Ubuntu sudo apt-get install redis-server # For macOS brew install redis ``` Start Redis: ```sh redis-server ``` #### …

- The `request.json()` method is used to parse the JSON request body asynchronously. - The `await` keyword ensures that the request is handled asynchronously. 4. **Error Handling:** - The `try-except` block is used to handle excep…

print(f"Processing dense query: {query_vector}") _, I = self.index.search(query_vector, k=10) return [f"dense_result_{i}" for i in I[0]] # Initialize FAISS index d = 128 # dimension n = 8000 # number of vectors np…

class QueryResult(BaseModel): id: int title: str content: str class QueryResponse(BaseModel): results: List[QueryResult] total_results: int ``` ### Step 3: Initialize Redis Client Initialize the Redis client and confi…

redis_client.set(f"synonym:{term}", json.dumps(expanded_synonyms), ex=3600) return expanded_synonyms else: return [] tasks = [expand_term(term) for term in ter…