fe58fd30eb
Document * Introduced “score” attribute in Document API. It stores the similarity score. * Consolidate “distance” metadata for Documents. It stores the distance measurement. * Adopted prefix-less naming convention in Document.Builder and deprecated old methods. * Deprecated the many overloaded Document constructors in favour of Document.Builder. Vector Stores * Every vector store implementation now configures a “score” attribute with the similarity score of the Document embedding. It also includes the “distance” metadata with the distance measurement. * Fixed error in Elasticsearch where distance and similarity were mixed up. * Added missing integration tests for SimpleVectorStore. * The Azure Vector Store and HanaDB Vector Store do not include those measurements because the product documentation do not include information about how the similarity score is returned, and without access to the cloud products I could not verify that via debugging. * Improved tests to actually assert the result of the similarity search based on the returned score. Signed-off-by: Thomas Vitale <ThomasVitale@users.noreply.github.com>
110 lines
3.5 KiB
XML
110 lines
3.5 KiB
XML
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<!--
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~ Copyright 2023-2024 the original author or authors.
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~
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~ Licensed under the Apache License, Version 2.0 (the "License");
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~ you may not use this file except in compliance with the License.
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~ You may obtain a copy of the License at
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~
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~ https://www.apache.org/licenses/LICENSE-2.0
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~
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~ Unless required by applicable law or agreed to in writing, software
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~ distributed under the License is distributed on an "AS IS" BASIS,
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~ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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~ See the License for the specific language governing permissions and
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~ limitations under the License.
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-->
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