Langchain是一个基于Faiss的库,专门用于处理文本数据的高效相似性搜索。Langchain利用Faiss的哈希技术,可以将文本数据转换为固定长度的向量表示,然后通过这些向量进行相似性搜索。 Langchain的原理可以概括为以下几个步骤: 1. **文本嵌入**:首先,Langchain将文本数据转换为数值向量,这一步通常需要使用预训练的文本嵌入模...
Doc referencehttps://python.langchain.com/en/latest/reference/modules/vectorstores.html?highlight=similarity_search#langchain.vectorstores.Annoy.similarity_search_with_scoreCan also give more info on the (small to start) dataset im using and queries i tested with. ...
Why am I getting an authentication error when trying to run a LangChain tutorial on FAISS vector database with OpenAI API? 0 Langchain pinecone similarity search error : Invalid type for variable 'namespace' Load 1 more related questions Know someone who can answer? Share ...
Checked other resources I added a very descriptive title to this issue. I searched the LangChain documentation with the integrated search. I used the GitHub search to find a similar question and didn't find it. I am sure that this is a b...
similarityでは以下のfaiss.similarity_searchが利用されるためここを修正します。 metadataにscore属性を追加して返却します。 langchain/vectorstores/faiss.py defsimilarity_search(self,query:str,k:int=4,filter:Optional[Dict[str,Any]]=None,fetch_k:int=20,**kwargs:Any,)->List[Document]:"""Return...
Issue you'd like to raise. I've been using Langchain to connect with the MongoDB vector store. While the file upload functionality works seamlessly, I encounter an error when trying to use the similarity search feature. Here's the error ...
让Langchain与你的数据对话(一):数据加载与分割 让Langchain与你的数据对话(二):向量存储与嵌入 今天我们来继续讲解deepleaning.AI的在线课程“LangChain: Chat with Your Data”的第四门课:检索(Retrieval)。 Langchain在实现与外部数据对话的功能时需要经历下面的5个阶段,它们分别是:Document Loading->Splitting->...
将新的枚举值添加到MultiVectorRetriever.SearchType中。
Many applications can be improved with similarity search. Similarity search can provide more relevant results and therefore improve business outcomes such as conversion rates, engagement rates, detected threats, data quality, and customer satisfaction.
Checked other resources I added a very descriptive title to this issue. I searched the LangChain.js documentation with the integrated search. I used the GitHub search to find a similar question and didn't find it. I am sure that this is ...