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fix: revert changes to benchmarks.md file

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cwiesen 2026-08-14 16:36:51 -05:00
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docs/benchmarks.md
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@ -164,21 +164,21 @@ Two approaches are benchmarked separately:
| Embedding Model | Reranker | Cases | MAP |
|------------------------------------------|------------------------------------------------------|------:|-------:|
| `Qwen/Qwen3-VL-Embedding-8B` | none | 3045 | 0.9774 |
| `nvidia/llama-nemotron-embed-vl-1b-v2` | none | 3045 | 0.9709 |
| `nvidia/llama-nemotron-embed-vl-1b-v2` | none | 3045 | 0.9798 |
| `nvidia/llama-nemotron-embed-vl-1b-v2` | `nvidia/llama-nemotron-rerank-vl-1b-v2` (multimodal) | 3045 | 0.9913 |
*The reranked row uses `reranking.multimodal: true`: picture chunks reach the vision reranker as images alongside their description text. Measured on haiku.rag main post-v0.67.3 (multimodal reranking ships in the next release).*
*The nemotron row without a reranker is measured on this release. The reranked row uses `reranking.multimodal: true`: picture chunks reach the vision reranker as images alongside their description text, measured on haiku.rag main post-v0.67.3.*
##### QA accuracy + citation retrieval
| Embedding Model | Target | Capability model | Cases | QA accuracy | Mean `cited_map` |
|------------------------------------------|-----------------|-----------------------------------|------:|-------------|------------------|
| `Qwen/Qwen3-VL-Embedding-8B` | `rag-capability` | `vllm:Gemma-4-26B-A4B-NVFP4` | 1409 | 0.89 | — |
| `nvidia/llama-nemotron-embed-vl-1b-v2` | `rag-capability` | `vllm:Gemma-4-26B-A4B-NVFP4` | 3045 | 0.92 | 0.93 |
| `nvidia/llama-nemotron-embed-vl-1b-v2` | `analysis-capability`| `vllm:Gemma-4-26B-A4B-NVFP4` | 3045 | 0.94 | 0.78 |
| `nvidia/llama-nemotron-embed-vl-1b-v2` | `rag-capability` | `vllm:Gemma-4-26B-A4B-NVFP4` | 3039 | 0.9263 | 0.9761 |
| `nvidia/llama-nemotron-embed-vl-1b-v2` | `analysis-capability`| `vllm:Gemma-4-26B-A4B-NVFP4` | 3040 | 0.9362 | 0.9343 |
| `nvidia/llama-nemotron-embed-vl-1b-v2` | `analysis-capability`| `vllm:Qwen3.6-35B-A3B-NVFP4` | 3045 | 0.95 | 0.93 |
*Measured on haiku.rag v0.52.0, no reranker, judged by `vllm:Qwen3.6-35B-A3B-NVFP4`. Qwen3-VL covered 1409 / 3045 cases.*
*Both nemotron `Gemma-4` rows are measured on this release, no reranker, judged by `vllm:Qwen3.6-35B-A3B-NVFP4` with thinking on, and exclude the cases that errored (6 of 3045 for `rag-capability`, 5 for `analysis-capability`). The `rag-capability` row cites at 99.64% with a mean of 1.08 citations per case, at a median 4.7s per case against 5.0s for `analysis-capability`. Citation coverage is what moved on this release: 4.9% of analysis cases register no citation, against 26.3% before, at unchanged searches and code executions per case. The remaining rows are from haiku.rag v0.52.0, where Qwen3-VL covered 1409 / 3045 cases.*
#### Text embedder + VLM picture descriptions