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Update benchmarks

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Yiorgis Gozadinos 2026-01-30 13:05:47 +02:00
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@ -134,7 +134,7 @@ Note the significant degradation when very small models are used such as `qwen3:
We benchmark both the plain text version (HTML stripped, no structure) and HTML version. Since HTML chunks are small (typically a phrase), we use `chunk_radius=2` to expand context.
*Results from v0.20.0*
*Results from v0.27.2*
### Retrieval (MAP)
@ -149,9 +149,8 @@ We benchmark both the plain text version (HTML stripped, no structure) and HTML
| Embedding Model | Chunk size | QA Model | Accuracy | Notes |
|----------------------|------------|-----------------------------|----------|------------------------------|
| `qwen3-embedding:4b` | 256 | `gpt-oss:20b` - no thinking | 0.74 | plain text, `chunk-radius=0` |
| `qwen3-embedding:4b` | 256 | `gpt-oss:20b` - thinking | 0.79 | html, `chunk-radius=2` |
| `qwen3-embedding:4b` | 256 | `gpt-oss:20b` - thinking | 0.80 | html, `chunk-radius=2`, reranker=`mxbai-rerank-base-v2` |
| `qwen3-embedding:4b` | 256 | `gpt-oss:20b` - thinking | 0.82 | html, `chunk-radius=2` |
| `qwen3-embedding:4b` | 256 | `gpt-oss:20b` - no thinking | 0.80 | html, `chunk-radius=2` |
## HotpotQA