Build an on-device knowledge base (text chunks + INT8 MiniLM embeddings) for the ESP32-P4 vector-search demo.
Train models in PyTorch and export them to .espdl (native format for ESP32 boards). Deploy via ONNX -> esp-dl.
Train Machine Learning pipelines in Python, run on any embedded device
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