milvus/internal/util/function/highlight/semantic_highlight.go
junjiejiangjjj 1100d8f7e2
feat: Add semantic highlight (#46189)
https://github.com/milvus-io/milvus/issues/42589

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Semantic Highlighting Feature

**Core Invariant**: Semantic highlighting operates on a per-field basis
with independent text processing through an external Zilliz highlight
provider. The implementation maintains field ID to field name mapping
and correlates highlight results back to original field outputs.

**What is Added**: This PR introduces semantic highlighting capability
for search results alongside the existing lexical highlighting. The
feature consists of:
- New `SemanticHighlight` orchestrator that validates queries/input
fields against collection schema, instantiates a Zilliz-based provider,
and batches text processing across multiple queries
- New `SemanticHighlighter` proxy wrapper implementing the `Highlighter`
interface for search pipeline integration
- New `semanticHighlightOperator` that processes search results by
delegating per-field text processing to the provider and attaching
correlated `HighlightResult` data to search outputs
- New gRPC service definition (`HighlightService`) and
`ZillizClient.Highlight()` method for external provider communication

**No Data Loss or Regression**: The change is purely additive without
modifying existing logic:
- Lexical highlighting path remains unchanged (separate switch case in
`createHighlightTask`)
- New `HighlightResults` field is only populated when semantic
highlighting is explicitly requested via `HighlightType_Semantic` enum
value
- Gracefully handles missing fields by returning explicit errors rather
than silent failures
- Pipeline operator integration follows existing patterns and only
processes when semantic highlighter is instantiated

**Why This Design**: Semantic highlighting is routed through the same
pipeline operator pattern as lexical highlighting, ensuring consistent
integration into search workflows. The per-field model allows flexible
highlighting across different text columns and batch processing ensures
efficient handling of multiple queries with configurable provider
constraints.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

Signed-off-by: junjie.jiang <junjie.jiang@zilliz.com>
2025-12-31 11:41:22 +08:00

147 lines
4.5 KiB
Go

/*
* # Licensed to the LF AI & Data foundation under one
* # or more contributor license agreements. See the NOTICE file
* # distributed with this work for additional information
* # regarding copyright ownership. The ASF licenses this file
* # to you under the Apache License, Version 2.0 (the
* # "License"); you may not use this file except in compliance
* # with the License. You may obtain a copy of the License at
* #
* # http://www.apache.org/licenses/LICENSE-2.0
* #
* # Unless required by applicable law or agreed to in writing, software
* # distributed under the License is distributed on an "AS IS" BASIS,
* # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* # See the License for the specific language governing permissions and
* # limitations under the License.
*/
package highlight
import (
"context"
"encoding/json"
"fmt"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/internal/util/function/models"
)
type semanticHighlightProvider interface {
highlight(ctx context.Context, query string, texts []string, params map[string]string) ([][]string, error)
maxBatch() int
}
type baseSemanticHighlightProvider struct {
batchSize int
}
func (provider *baseSemanticHighlightProvider) maxBatch() int {
return provider.batchSize
}
type SemanticHighlight struct {
fieldIDs []int64
provider semanticHighlightProvider
queries []string
}
const (
queryKeyName string = "queries"
inputFieldKeyName string = "input_fields"
)
func NewSemanticHighlight(collSchema *schemapb.CollectionSchema, params []*commonpb.KeyValuePair, conf map[string]string, extraInfo *models.ModelExtraInfo) (*SemanticHighlight, error) {
queries := []string{}
inputField := []string{}
for _, param := range params {
switch param.Key {
case queryKeyName:
if err := json.Unmarshal([]byte(param.Value), &queries); err != nil {
return nil, fmt.Errorf("Parse queries failed, err: %v", err)
}
case inputFieldKeyName:
if err := json.Unmarshal([]byte(param.Value), &inputField); err != nil {
return nil, fmt.Errorf("Parse input_field failed, err: %v", err)
}
}
}
if len(queries) == 0 {
return nil, fmt.Errorf("queries is required")
}
if len(inputField) == 0 {
return nil, fmt.Errorf("input_field is required")
}
fieldIDMap := make(map[string]*schemapb.FieldSchema)
for _, field := range collSchema.Fields {
fieldIDMap[field.Name] = field
}
fieldIDs := []int64{}
for _, fieldName := range inputField {
field, ok := fieldIDMap[fieldName]
if !ok {
return nil, fmt.Errorf("input_field %s not found", fieldName)
}
if field.DataType != schemapb.DataType_VarChar && field.DataType != schemapb.DataType_Text {
return nil, fmt.Errorf("input_field %s is not a VarChar or Text field", fieldName)
}
fieldIDs = append(fieldIDs, field.FieldID)
}
// TODO: support other providers if have more providers
provider, err := newZillizHighlightProvider(params, conf, extraInfo)
if err != nil {
return nil, err
}
return &SemanticHighlight{fieldIDs: fieldIDs, provider: provider, queries: queries}, nil
}
func (highlight *SemanticHighlight) FieldIDs() []int64 {
return highlight.fieldIDs
}
func (highlight *SemanticHighlight) processOneQuery(ctx context.Context, query string, data []string, params map[string]string) ([][]string, error) {
if len(data) == 0 {
return [][]string{}, nil
}
highlights, err := highlight.provider.highlight(ctx, query, data, params)
if err != nil {
return nil, err
}
if len(highlights) != len(data) {
return nil, fmt.Errorf("Highlights size must equal to data size, but got highlights size [%d], data size [%d]", len(highlights), len(data))
}
return highlights, nil
}
func (highlight *SemanticHighlight) Process(ctx context.Context, topks []int64, data []string, params map[string]string) ([][]string, error) {
nq := len(topks)
if len(highlight.queries) != nq {
return nil, fmt.Errorf("nq must equal to queries size, but got nq [%d], queries size [%d], queries: [%v]", nq, len(highlight.queries), highlight.queries)
}
if len(data) == 0 {
return [][]string{}, nil
}
highlights := make([][]string, 0, len(data))
start := int64(0)
for i, query := range highlight.queries {
size := topks[i]
singleHighlights, err := highlight.processOneQuery(ctx, query, data[start:start+size], params)
if err != nil {
return nil, err
}
highlights = append(highlights, singleHighlights...)
start += size
}
return highlights, nil
}