Function _encode_legacy

tools/kb_semantic.py:96–100

(texts: list)

def _encode_legacy(texts: list) -> "np.ndarray":
    model = _get_legacy_model()
    if HAS_FASTEMBED:
        return np.array(list(model.embed(texts)), dtype="float32")
    return model.encode(texts, show_progress_bar=False, convert_to_numpy=True)


# ── Llama-server embedding backend ─────────────────────────────────────────────