Fix variable typo (#8084)

This commit is contained in:
Nam Vu
2024-09-08 12:14:11 +07:00
committed by GitHub
parent b1918dae5e
commit 2d7954c7da
215 changed files with 599 additions and 597 deletions

View File

@@ -8,7 +8,7 @@ from core.model_manager import ModelManager
from core.model_runtime.entities.model_entities import ModelType
from core.rag.datasource.retrieval_service import RetrievalService
from core.rag.rerank.rerank_model import RerankModelRunner
from core.rag.retrieval.retrival_methods import RetrievalMethod
from core.rag.retrieval.retrieval_methods import RetrievalMethod
from core.tools.tool.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool
from extensions.ext_database import db
from models.dataset import Dataset, Document, DocumentSegment
@@ -163,7 +163,7 @@ class DatasetMultiRetrieverTool(DatasetRetrieverBaseTool):
if dataset.indexing_technique == "economy":
# use keyword table query
documents = RetrievalService.retrieve(retrival_method='keyword_search',
documents = RetrievalService.retrieve(retrieval_method='keyword_search',
dataset_id=dataset.id,
query=query,
top_k=self.top_k
@@ -173,7 +173,7 @@ class DatasetMultiRetrieverTool(DatasetRetrieverBaseTool):
else:
if self.top_k > 0:
# retrieval source
documents = RetrievalService.retrieve(retrival_method=retrieval_model['search_method'],
documents = RetrievalService.retrieve(retrieval_method=retrieval_model['search_method'],
dataset_id=dataset.id,
query=query,
top_k=self.top_k,

View File

@@ -2,7 +2,7 @@
from pydantic import BaseModel, Field
from core.rag.datasource.retrieval_service import RetrievalService
from core.rag.retrieval.retrival_methods import RetrievalMethod
from core.rag.retrieval.retrieval_methods import RetrievalMethod
from core.tools.tool.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool
from extensions.ext_database import db
from models.dataset import Dataset, Document, DocumentSegment
@@ -63,7 +63,7 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool):
retrieval_model = dataset.retrieval_model if dataset.retrieval_model else default_retrieval_model
if dataset.indexing_technique == "economy":
# use keyword table query
documents = RetrievalService.retrieve(retrival_method='keyword_search',
documents = RetrievalService.retrieve(retrieval_method='keyword_search',
dataset_id=dataset.id,
query=query,
top_k=self.top_k
@@ -72,7 +72,7 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool):
else:
if self.top_k > 0:
# retrieval source
documents = RetrievalService.retrieve(retrival_method=retrieval_model.get('search_method', 'semantic_search'),
documents = RetrievalService.retrieve(retrieval_method=retrieval_model.get('search_method', 'semantic_search'),
dataset_id=dataset.id,
query=query,
top_k=self.top_k,