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[QMD] Support remote embedding services

Implement the ability to configure a remote GPU endpoint for running embedding models, which would be more efficient than using local CPU resources.

Original Source

@@yiakwy-xpu-ml-framework-team | 0 pts | 3/14/2026

It is very silly to use local cpu to run embedding models. Simple configure a remote gpu endpoint (we can support both v1/chat/completions nad v1/embeddings) will be very convient for us. Where can I add the options ? @tobi ``` node@3f218953d795:/app$ qmd status QMD Status Index: /home/node/.cache/qmd/index.sqlite Size: 3.7 MB Documents Total: 68 files indexed Vectors: 118 embedded Updated: 15m ago Collections local (qmd://local/) Pattern: **/*.md Files: 48 (updated 15m ago) openclaw-engram (qmd://openclaw-engram/) Pattern: **/*.md Files: 0 (updated never) Examples # List files in a collection qmd ls local # Get a document qmd get qmd://local/path/to/file.md # Search within a collection qmd search "query" -c local Models Embedding: https://huggingface.co/ggml-org/embeddinggemma-300M-GGUF Reranking: https://huggingface.co/ggml-org/Qwen3-Reranker-0.6B-Q8_0-GGUF Generation: https://huggingface.co/tobil/qmd-query-expa

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