0.1B model outperforms 8B embedding models in local RAG scenarios; user tests show feasibility on low-power hardware

I bet you guys are familiar with embedding models such as Qwen3-Embedding or Gemini Embedding. They are dense embedding models used to search text across a large corpus. I am developing a RAG agent, and my biggest...