ValueError: Expected EmbeddingFunction.__call__ to have the following signature Value Error Expected Embedding Function call to have the following signature This error message Value Error Expected Embedding Function call to have the followi 3 min read 04-10-2024 11
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Searching one document at a time from a vector store Efficiently Searching a Vector Store for One Document at a Time A Guide for Chatbot Developers In natural language processing NLP applications especially for ch 3 min read 31-08-2024 15
OpenAIEmbeddings works fine but AzureOpenAIEmbeddings gives error: 'str' object has no attribute 'create' Debugging str object has no attribute create Error in Azure Open AI Embeddings This article explores a common error encountered when using Azure Open AI Embeddi 2 min read 30-08-2024 24
How do I access the docs that have been retrieved by my retriever in ConversationalRetrievalChain? Accessing Retrieved Documents in Lang Chains Conversational Retrieval Chain This article explores how to access the specific documents retrieved by Lang Chains 3 min read 28-08-2024 20
Is updating points in Qdrant vectordb without re-embedding the data safe? Is updating points in Qdrant vectordb without re embedding the data safe This is a common question when working with vector databases like Qdrant While updating 2 min read 27-08-2024 22