I'm Dosu, and I'm helping the LangChain team manage our backlog. I wanted to let you know that we are marking this issue as stale. From what I understand, the issue you raised is regarding the ClickHouse VectorStore'sscore_thresholdparameter not working as expected in thesimilarity_search...
As a potential solution, you might want to consider using a different retriever that supports this feature. For instance, theFAISSorQdrantretrievers in LangChain support thesimilarity_score_thresholdsearch type. These retrievers return not only the documents but also the similarity score of the query...
similarity_score_threshold を利用するパターン similarity_score_thresholdでは以下のfaiss._similarity_search_with_relevance_scoresが利用されるためここを修正します。 langchain/vectorstores/faiss.py def_similarity_search_with_relevance_scores(self,query:str,k:int=4,filter:Optional[Dict[str,Any]]=None...
将新的枚举值添加到MultiVectorRetriever.SearchType中。
Slack also uses static threshold notifications as low confidence alarms but uses these as input to ReleaseBot to calculate dynamic thresholds, which consider the normal load on and performance of a component at the time of deployment. This uses historical data to differentiate between abnormal spikes...
Coefficient of Determination We often denote this as R2 or r2, more commonly known as R Squared, indicating the extent of influence a specific independent variable exerts on the dependent variable. Typically ranging between 0 and 1, values below 0.3 suggest weak influence,...
Complex disease is largely determined by a number of biomolecules interwoven into networks, rather than a single biomolecule. A key but inadequately addressed issue is how to test possible differences of the networks between two groups. Group-level compa
as_retriever(search_type="similarity_score_threshold", search_kwargs={'score_threshold': 0.2}) print(retriever.get_relevant_documents('Ketanji')) The above code returns negative similarity scores for all retrieved results: lib/python3.9/site-packages/langchain/vectorstores/base.py:257: ...
I'm Dosu, and I'm here to help the LangChain team manage their backlog. I wanted to let you know that we are marking this issue as stale. From what I understand, you encountered aTypeErrorwhen using thesimilarity_search_with_score_by_vector()function with the 'score_threshold' keyword...
Add the ability to filter out documents with a similarity score less than a score_threshold in theMultiVectorRetriever. Motivation TheVectorStoreRetrieverbase class has a"similarity_score_threshold"option forsearch_type, which adds the ability to filter out any documents with a similarity score less...