@Configuration class ServiceExecutorConfig : AsyncConfigurer { override fun getAsyncExecutor(): Executor { val taskExecutor = ThreadPoolTaskExecutor().apply ...
When using the default ONNX embedding model in Spring AI (all-MiniLM-L6-v2), running the embedding process asynchronously with a ThreadPoolTaskExecutor results in inconsistent behavior and occasional ...
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