|  | @@ -4,10 +4,6 @@ import time
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				|  |  |  import numpy as np
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				|  |  |  from sklearn.manifold import TSNE
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				|  |  |  
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				|  |  | -from core.embedding.cached_embedding import CacheEmbedding
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				|  |  | -from core.model_manager import ModelManager
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				|  |  | -from core.model_runtime.entities.model_entities import ModelType
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				|  |  | -from core.rag.datasource.entity.embedding import Embeddings
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				|  |  |  from core.rag.datasource.retrieval_service import RetrievalService
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				|  |  |  from core.rag.models.document import Document
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				|  |  |  from core.rag.retrieval.retrival_methods import RetrievalMethod
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				|  | @@ -45,17 +41,6 @@ class HitTestingService:
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				|  |  |          if not retrieval_model:
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				|  |  |              retrieval_model = dataset.retrieval_model if dataset.retrieval_model else default_retrieval_model
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				|  |  |  
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				|  |  | -        # get embedding model
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				|  |  | -        model_manager = ModelManager()
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				|  |  | -        embedding_model = model_manager.get_model_instance(
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				|  |  | -            tenant_id=dataset.tenant_id,
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				|  |  | -            model_type=ModelType.TEXT_EMBEDDING,
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				|  |  | -            provider=dataset.embedding_model_provider,
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				|  |  | -            model=dataset.embedding_model
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				|  |  | -        )
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				|  |  | -
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				|  |  | -        embeddings = CacheEmbedding(embedding_model)
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				|  |  | -
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				|  |  |          all_documents = RetrievalService.retrieve(retrival_method=retrieval_model['search_method'],
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				|  |  |                                                    dataset_id=dataset.id,
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				|  |  |                                                    query=query,
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				|  | @@ -80,20 +65,10 @@ class HitTestingService:
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				|  |  |          db.session.add(dataset_query)
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				|  |  |          db.session.commit()
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				|  |  |  
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				|  |  | -        return cls.compact_retrieve_response(dataset, embeddings, query, all_documents)
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				|  |  | +        return cls.compact_retrieve_response(dataset, query, all_documents)
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				|  |  |  
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				|  |  |      @classmethod
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				|  |  | -    def compact_retrieve_response(cls, dataset: Dataset, embeddings: Embeddings, query: str, documents: list[Document]):
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				|  |  | -        text_embeddings = [
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				|  |  | -            embeddings.embed_query(query)
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				|  |  | -        ]
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				|  |  | -
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				|  |  | -        text_embeddings.extend(embeddings.embed_documents([document.page_content for document in documents]))
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				|  |  | -
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				|  |  | -        tsne_position_data = cls.get_tsne_positions_from_embeddings(text_embeddings)
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				|  |  | -
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				|  |  | -        query_position = tsne_position_data.pop(0)
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				|  |  | -
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				|  |  | +    def compact_retrieve_response(cls, dataset: Dataset, query: str, documents: list[Document]):
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				|  |  |          i = 0
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				|  |  |          records = []
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				|  |  |          for document in documents:
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				|  | @@ -113,7 +88,6 @@ class HitTestingService:
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				|  |  |              record = {
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				|  |  |                  "segment": segment,
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				|  |  |                  "score": document.metadata.get('score', None),
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				|  |  | -                "tsne_position": tsne_position_data[i]
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				|  |  |              }
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				|  |  |  
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				|  |  |              records.append(record)
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				|  | @@ -123,7 +97,6 @@ class HitTestingService:
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				|  |  |          return {
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				|  |  |              "query": {
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				|  |  |                  "content": query,
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				|  |  | -                "tsne_position": query_position,
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				|  |  |              },
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				|  |  |              "records": records
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				|  |  |          }
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