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## Summary - Replaces the `"no such method"` stub on `NvidiaModel.Rerank` (`internal/entity/models/nvidia.go`) with a real implementation against NVIDIA NIM's `/ranking` endpoint. - Mirrors the existing Python `NvidiaRerank` class at `rag/llm/rerank_model.py:149-190` for behavior parity: same `passages`/`query.text`/`logit` payload shape; `top_n` set to `len(documents)` so every input gets a score returned in original order (the issue body's spec omitted `top_n`, which would cause silent data loss). - Adds the `"rerank": "ranking"` URL suffix and two NIM rerank model entries (`nvidia/nv-rerankqa-mistral-4b-v3`, `nvidia/llama-3.2-nv-rerankqa-1b-v2`) to `conf/models/nvidia.json` so the picker exposes them. - Follows the same shape as the recently merged Aliyun (#14676), Gitee (#14656), and ZhipuAI (#14608) Rerank implementations: lowercase per-driver request/response types, conversion to the project-wide `RerankResponse{Data: []RerankResult}`, per-call `context.WithTimeout` of 30s. Closes #14720 ## Test plan - [x] `gofmt -l internal/entity/models/nvidia.go` — clean - [x] `go vet ./internal/entity/models/...` — no new errors introduced (the two pre-existing vet errors in `baidu.go:642` and `openrouter.go:566` are unrelated to this PR) - [x] `go build ./internal/entity/models/...` — succeeds - [x] `python3 -c "import json; json.load(open('conf/models/nvidia.json'))"` — JSON valid - [ ] Live smoke test against NVIDIA NIM with a real API key (requires reviewer with NIM credentials) ## Notes for reviewers - The issue body suggested omitting `top_n`. The Python reference includes it (`top_n: len(texts)`), and without it NVIDIA returns only the default top-K rankings rather than scores for every input. This PR follows the Python. - The URL host is `integrate.api.nvidia.com` (kept consistent with the existing chat/embeddings BaseURL in `nvidia.go`), not the legacy `ai.api.nvidia.com` host the Python uses. NIM's unified endpoint accepts the model names as-is, so no per-model URL transform is needed.