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https://gitee.com/milvus-io/milvus.git
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71563d5d0e
…normalization - Add configurable score merge functions (max, avg, sum) for decay reranking - Introduce norm_score parameter to control score normalization behavior - Refactor score normalization logic into reusable utility functions #44051 Signed-off-by: junjie.jiang <junjie.jiang@zilliz.com>
102 lines
3.0 KiB
Go
102 lines
3.0 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 rerank
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import (
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"context"
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"fmt"
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"strconv"
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"strings"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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)
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const (
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RRFParamsKey string = "k"
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defaultRRFParamsValue float64 = 60
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)
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type RRFFunction[T PKType] struct {
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RerankBase
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k float32
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}
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func newRRFFunction(collSchema *schemapb.CollectionSchema, funcSchema *schemapb.FunctionSchema) (Reranker, error) {
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base, err := newRerankBase(collSchema, funcSchema, RRFName, true)
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if err != nil {
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return nil, err
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}
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if len(base.GetInputFieldNames()) != 0 {
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return nil, fmt.Errorf("The rrf function does not support input parameters, but got %s", base.GetInputFieldNames())
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}
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k := float64(defaultRRFParamsValue)
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for _, param := range funcSchema.Params {
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if strings.ToLower(param.Key) == RRFParamsKey {
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if k, err = strconv.ParseFloat(param.Value, 64); err != nil {
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return nil, fmt.Errorf("Param k:%s is not a number", param.Value)
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}
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}
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}
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if k <= 0 || k >= 16384 {
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return nil, fmt.Errorf("The rank params k should be in range (0, %d)", 16384)
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}
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if base.pkType == schemapb.DataType_Int64 {
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return &RRFFunction[int64]{RerankBase: *base, k: float32(k)}, nil
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} else {
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return &RRFFunction[string]{RerankBase: *base, k: float32(k)}, nil
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}
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}
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func (rrf *RRFFunction[T]) processOneSearchData(ctx context.Context, searchParams *SearchParams, cols []*columns, idGroup map[any]any) (*IDScores[T], error) {
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rrfScores := map[T]float32{}
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for _, col := range cols {
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if col.size == 0 {
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continue
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}
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ids := col.ids.([]T)
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for idx, id := range ids {
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if score, ok := rrfScores[id]; !ok {
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rrfScores[id] = 1 / (rrf.k + float32(idx+1))
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} else {
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rrfScores[id] = score + 1/(rrf.k+float32(idx+1))
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}
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}
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}
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if searchParams.isGrouping() {
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return newGroupingIDScores(rrfScores, searchParams, idGroup)
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}
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return newIDScores(rrfScores, searchParams, true), nil
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}
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func (rrf *RRFFunction[T]) Process(ctx context.Context, searchParams *SearchParams, inputs *rerankInputs) (*rerankOutputs, error) {
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outputs := newRerankOutputs(searchParams)
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for _, cols := range inputs.data {
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idScore, err := rrf.processOneSearchData(ctx, searchParams, cols, inputs.idGroupValue)
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if err != nil {
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return nil, err
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}
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appendResult(outputs, idScore.ids, idScore.scores)
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}
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return outputs, nil
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}
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