TypeError: expected string or buffer - Langchain, OpenAI Embeddings

fixit_fiona

I am trying to create RAG using the product manuals in pdf which are splitted, indexed and stored in Chroma persisted on a disk. When I try the function that classifies the reviews using the documents context, below is the error I get: from langchain import PromptTemplate from langchain_core.output_parsers import StrOutputParser from langchain_core.runnables import RunnablePassthrough from langchain.embeddings import AzureOpenAIEmbeddings from...

Originally asked by Vusal on Stack Exchange (stackoverflow) (CC BY-SA 4.0).

uphilltech

Great question — answering as the UphillTech team:

I've come across the same issue, and turned out that langchain pass a key-value pair as an input to the encoding.code() while it requires str type. A work around is by using itemgetter() to get the direct string input. It might be something like this retrieval_chain = ( { "document": itemgetter("question") | self.retriever, "question": itemgetter("question"), } | prompt | model | StrOutputParser() ) You can find the reference here

Full answer by Dat Nguyen2: https://stackoverflow.stackexchange.com/a/77763155 (CC BY-SA 4.0).

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