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https://github.com/milvus-io/milvus.git
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issue : https://github.com/milvus-io/milvus/issues/41746 This PR adds MinHash "DIDO" (Data In, Data Out) support to Milvus, which allows computing MinHash signatures on-the-fly during search operations instead of requiring pre-stored vectors. Key changes: - Implemented SIMD-optimized C++ MinHash computation (AVX2/AVX512 for x86, NEON/SVE for ARM) - Added runtime CPU detection and function hooks to automatically select the best SIMD implementation - Integrated MinHash computation into search pipeline (brute force search, growing segment search) - Added support for LSH-based MinHash search with configurable band width and bit width parameters - Enabled direct text-to-signature conversion during query execution, reducing storage overhead This enables efficient text deduplication and similarity search without storing pre-computed MinHash vectors. Signed-off-by: cqy123456 <qianya.cheng@zilliz.com>
49 lines
1.6 KiB
Go
49 lines
1.6 KiB
Go
/*
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* # Licensed to the LF AI & Data foundation under one
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* # or more contributor license agreements. See the NOTICE file
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* # distributed with this work for additional information
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* # regarding copyright ownership. The ASF licenses this file
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* # to you under the Apache License, Version 2.0 (the
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* # "License"); you may not use this file except in compliance
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* # with the License. You may obtain a copy of the License at
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* #
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* # http://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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package function
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import (
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"fmt"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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)
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type FunctionRunner interface {
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BatchRun(inputs ...any) ([]any, error)
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GetSchema() *schemapb.FunctionSchema
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GetOutputFields() []*schemapb.FieldSchema
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GetInputFields() []*schemapb.FieldSchema
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Close()
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}
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func NewFunctionRunner(coll *schemapb.CollectionSchema, schema *schemapb.FunctionSchema) (FunctionRunner, error) {
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switch schema.GetType() {
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case schemapb.FunctionType_BM25:
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return NewBM25FunctionRunner(coll, schema)
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case schemapb.FunctionType_MinHash:
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return NewMinHashFunctionRunner(coll, schema)
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case schemapb.FunctionType_TextEmbedding:
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return nil, nil
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default:
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return nil, fmt.Errorf("unknown functionRunner type %s", schema.GetType().String())
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}
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}
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