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With Weaviate as the vector database, a chunk identical to the query (distance 0) was treated as having no distance and got a relevance score of 0. Perfect matches could land at the bottom of the results or fall below the relevance threshold. They now score 1 as expected. Fixes #31527 |
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| .. | ||
| chroma.py | ||
| elasticsearch.py | ||
| mariadb_vector.py | ||
| milvus.py | ||
| milvus_multitenancy.py | ||
| opengauss.py | ||
| opensearch.py | ||
| oracle23ai.py | ||
| pgvector.py | ||
| pinecone.py | ||
| qdrant.py | ||
| qdrant_multitenancy.py | ||
| s3vector.py | ||
| valkey.py | ||
| weaviate.py | ||