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a26c786bc5
- **Description:** Changed the comparator to use a wildcard query instead of match. This modification allows for partial text matching on analyzed fields, which improves the flexibility of the search by performing full-text searches that aren't limited to exact matches. - **Issue:** The previous implementation used a match query, which performs exact matches on analyzed fields. This approach limited the search capabilities by requiring the query terms to align with the indexed text. The modification to use a wildcard query instead addresses this limitation. The wildcard query allows for partial text matching, which means the search can return results even if only a portion of the term matches the text. This makes the search more flexible and suitable for use cases where exact matches aren't necessary or expected, enabling broader full-text searches across analyzed fields. In short, the problem was that match queries were too restrictive, and the change to wildcard queries enhances the ability to perform partial matches. - **Dependencies:** none - **Twitter handle:** @Andre_Q_Pereira --------- Co-authored-by: André Quintino <andre.quintino@tui.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Chester Curme <chester.curme@gmail.com> |
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| .. | ||
| __init__.py | ||
| astradb.py | ||
| chroma.py | ||
| dashvector.py | ||
| databricks_vector_search.py | ||
| deeplake.py | ||
| dingo.py | ||
| elasticsearch.py | ||
| hanavector.py | ||
| milvus.py | ||
| mongodb_atlas.py | ||
| myscale.py | ||
| neo4j.py | ||
| opensearch.py | ||
| pgvector.py | ||
| pinecone.py | ||
| qdrant.py | ||
| redis.py | ||
| supabase.py | ||
| tencentvectordb.py | ||
| timescalevector.py | ||
| vectara.py | ||
| weaviate.py | ||