Build a Low-Latency Reranking API in Python: FastAPI + ONNX Runtime

Description

Serve batched reranking with FastAPI and ONNX Runtime in Python to speed cross-encoder scoring and reduce per-query latency. Run a local service that batches query–document pairs, exposes single- and multi-request rerank endpoints, and balances micro-batch size for throughput vs memory. Hands-on example uses FastAPI, ONNX Runtime (CPU/CUDA providers) and Python; pair with BM25 or an ANN index for candidate generation. Subscribe for short, practical information retrieval and reranking tutorials from Professor Py. #Python #FastAPI #ONNXRuntime #CrossEncoder #InformationRetrieval #MachineLearning #AITutorial