LangChain - Embeddings and Vector StoresWhat happens if you call embed_documents with a list of 3 texts using OpenAIEmbeddings?ARaises a TypeErrorBReturns a single combined embedding vectorCReturns a list of 3 embedding vectors, one per textDReturns an empty listCheck Answer
Step-by-Step SolutionSolution:Step 1: Understand embed_documents input and outputembed_documents takes a list of texts and returns a list of vectors.Step 2: Confirm output length matches input list lengthEach input text gets its own embedding vector in the output list.Final Answer:Returns a list of 3 embedding vectors, one per text -> Option CQuick Check:embed_documents output length = input list length [OK]Quick Trick: embed_documents returns vector list matching input texts [OK]Common Mistakes:Expecting a single combined vectorThinking it raises an error for list inputAssuming output is a dictionary
Master "Embeddings and Vector Stores" in LangChain9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallPerf
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