High Performance Service Architecture Design
TaskingAI builds a fully asynchronous service system based on FastAPI framework, and this technology selection enables it to maximize the use of system resources in IO-intensive scenarios. Test data shows that under the same hardware configuration, its concurrent processing capacity can be up to 3-5 times that of the traditional synchronous architecture, which is especially suitable for enterprise applications that need to serve a large number of end users at the same time.
The asynchronous nature of the platform runs through all core components: model calls use non-blocking IO, plugin execution supports parallel processing, and RAG retrieval uses asynchronous vector computation. These performance advantages are naturally available to developers through the standard Python SDK, without the need to focus on the underlying implementation. For example, in a customer service system scenario, a single service node can handle hundreds of customer inquiries simultaneously.
This answer comes from the articleTaskingAI: An Open Source Platform for Developing AI Native ApplicationsThe
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