Arjun Krishna

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solved it by using from langchain.embeddings import FastEmbedEmbeddings retriever = FAISS.from_documents( docs, FastEmbedEmbeddings() ).as_retriever()

Thanks. Will try that out.

yes, that would be great to try out this model too.

Thanks for checking. Do not put anymore time looking into it. It was just out of curiosity that I had asked.

Yes, having audio and video transcription would be a very useful feature.

https://github.com/the-crypt-keeper/tldw