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
webbrain-traces-1786973711293.md
for example i see
in literal form while it should look like:
attached you can see traces and a screenshot
webbrain-traces-1786973711293.md