This is a test query

{"query": "What are the best practices for RAG systems?", "context": "Previous query was about performance optimization."}, {"query": "Can you explain the retrieval mechanism?", "context": "Previous query was about context-aware ret…

# Remove special characters token = re.sub(r'[^a-zA-Z0-9]', '', token) processed_tokens.append(token) return processed_tokens # Test the function queries = ["This is a test query", "Another query with speci…

queries = ["This is a test query", "Another query with special characters !@#$"] for query in queries: print(parse_query(query)) ``` How can I design a modular architecture for the query preprocessing service to ensure scalability and e…

def __init__(self): self.model = ReformulationModel() def process_queries(self, queries, batch_size=100, max_workers=10): with ThreadPoolExecutor(max_workers=max_workers) as executor: futures = [executor…

futures = [executor.submit(self.model.batch_reformulate, queries[i:i+batch_size]) for i in range(0, len(queries), batch_size)] results = [] for future in as_completed(futures): results.ext…