mirror of
https://github.com/infiniflow/ragflow.git
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a55a438b42
- Prefer canonical `dataset_ids` over legacy `kb_ids` in Canvas retrieval components. - Cover selected and explicitly cleared dataset IDs with regression tests. - Add cross-language retrieval with dataset-specific embedding and rerank models. - Support vector and keyword similarity controls, metadata filtering, TOC enhancement, and child-chunk expansion. - Route Canvas retrieval across datasets and memories with compatible embedding validation.
105 lines
2.9 KiB
Go
105 lines
2.9 KiB
Go
//
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// Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
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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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// 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 retrievalbridge
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import (
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"context"
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"fmt"
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"strings"
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agenttool "ragflow/internal/agent/tool"
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"ragflow/internal/service"
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"gorm.io/gorm"
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)
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// MemoryAdapter exposes MemoryService.SearchMessage through the agent tool's
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// retrieval interface.
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type MemoryAdapter struct {
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svc *service.MemoryService
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}
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// NewMemoryAdapter creates a memory retrieval adapter.
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func NewMemoryAdapter(svc *service.MemoryService) *MemoryAdapter {
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return &MemoryAdapter{svc: svc}
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}
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// Search performs hybrid memory-message retrieval and translates messages to
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// the common RetrievalChunk result shape.
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func (a *MemoryAdapter) Search(
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ctx context.Context,
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_ *gorm.DB,
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req agenttool.RetrievalRequest,
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) ([]agenttool.RetrievalChunk, error) {
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if a == nil || a.svc == nil {
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return nil, agenttool.ErrMemoryRetrievalServiceMissing
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}
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if strings.TrimSpace(req.TenantID) == "" {
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return nil, fmt.Errorf("memory retrieval: tenant id is required")
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}
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memoryIDs := compactStrings(req.MemoryIDs)
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if len(memoryIDs) == 0 {
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return nil, fmt.Errorf("memory retrieval: memory_ids is required")
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}
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keywordWeight := 0.7
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if req.KeywordsSimilarityWeight != nil {
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keywordWeight = *req.KeywordsSimilarityWeight
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}
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messages, _, err := a.svc.SearchMessage(
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ctx,
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req.TenantID,
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map[string]any{"memory_id": memoryIDs},
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map[string]any{
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"query": req.Query,
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"similarity_threshold": req.SimilarityThreshold,
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"keywords_similarity_weight": keywordWeight,
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"top_n": req.TopN,
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},
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)
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if err != nil {
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return nil, err
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}
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chunks := make([]agenttool.RetrievalChunk, 0, len(messages))
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for _, message := range messages {
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memoryID := fmt.Sprint(message["memory_id"])
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chunks = append(chunks, agenttool.RetrievalChunk{
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ID: fmt.Sprint(message["message_id"]),
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Content: fmt.Sprint(message["content"]),
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DocumentID: memoryID,
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DatasetID: memoryID,
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})
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}
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return chunks, nil
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}
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func compactStrings(values []string) []string {
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seen := make(map[string]struct{}, len(values))
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result := make([]string, 0, len(values))
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for _, value := range values {
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value = strings.TrimSpace(value)
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if value == "" {
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continue
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}
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if _, ok := seen[value]; ok {
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continue
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}
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seen[value] = struct{}{}
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result = append(result, value)
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}
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return result
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}
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