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fix multimodal embedding retrival test

This commit is contained in:
jyong 2025-12-26 17:05:37 +08:00
parent 901cc64ac9
commit 676063890c
1 changed files with 8 additions and 8 deletions
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8
api/core/rag/datasource/retrieval_service.py
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@ -473,9 +473,7 @@ class RetrievalService:
for segment in segments:
child_chunks: list[ChildChunk] = child_chunk_map.get(segment.id, [])
attachment_infos: list[dict[str, Any]] = attachment_map.get(segment.id, [])
ds_dataset_document: DatasetDocument | None = valid_dataset_documents.get(
segment.document_id
)
ds_dataset_document: DatasetDocument | None = valid_dataset_documents.get(segment.document_id)
if ds_dataset_document and ds_dataset_document.doc_form == IndexStructureType.PARENT_CHILD_INDEX:
if segment.id not in include_segment_ids:
@ -495,7 +493,9 @@ class RetrievalService:
max_score = max(max_score, document.metadata.get("score", 0.0) if document else 0.0)
for attachment_info in attachment_infos:
file_document = doc_to_document_map[attachment_info["id"]]
max_score = max(max_score, file_document.metadata.get("score", 0.0) if file_document else 0.0)
max_score = max(
max_score, file_document.metadata.get("score", 0.0) if file_document else 0.0
)
map_detail = {
"max_score": max_score,