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can't render tables #2838

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@esokullu

for example i see

| Aspect | multilingual-e5-small | BM25 |
|---|---|---|
| Retrieval type | Dense semantic retrieval | Sparse lexical retrieval |
| Understands meaning/synonyms | Strong | Weak |
| Exact keyword matching | Moderate | Excellent |
| Multilingual support | Designed for multilingual search | Works for any language, but only lexically |
| Misspellings/paraphrases | Often handles them better | Usually performs poorly |
| Rare names, IDs, error codes | Can miss them | Very strong |
| Index size | Larger dense vectors, typically 384 dimensions | Compact inverted index |
| Query latency | Requires embedding computation + vector search | Usually very fast |
| Interpretability | Lower; similarity score is semantic | High; matching terms and IDF are explainable |
| Infrastructure | Embedding model + vector database/index | Standard text search engine |
| Offline browser use | Possible with this ONNX/Transformers.js model | Easy with JavaScript text-search libraries |

in literal form while it should look like:

Aspect  multilingual-e5-small  BM25
Retrieval type Dense semantic retrieval Sparse lexical retrieval
Understands meaning/synonyms Strong Weak
Exact keyword matching Moderate Excellent
Multilingual support Designed for multilingual search Works for any language, but only lexically
Misspellings/paraphrases Often handles them better Usually performs poorly
Rare names, IDs, error codes Can miss them Very strong
Index size Larger dense vectors, typically 384 dimensions Compact inverted index
Query latency Requires embedding computation + vector search Usually very fast
Interpretability Lower; similarity score is semantic High; matching terms and IDF are explainable
Infrastructure Embedding model + vector database/index Standard text search engine
Offline browser use Possible with this ONNX/Transformers.js model Easy with JavaScript text-search libraries

attached you can see traces and a screenshot

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webbrain-traces-1786973711293.md

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