UpTrain (YC W23)’s Post

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Implementing RAG to an LLM application seems easy, but building a fully functional RAG pipeline is a lot more challenging. A lot of factors can go wrong: - The retrieved context is poor. - The context is not getting utilized effectively. - The LLM is hallucinating, generating incorrect information. and a lot more… These challenges can lead to incomplete or inaccurate responses, undermining the reliability of the LLM system. To understand more about the different problems that can occur in RAG and how to solve them, check out our recent blog: https://lnkd.in/gRCZUMy8

What's Wrong in my RAG Pipeline? - UpTrain AI

What's Wrong in my RAG Pipeline? - UpTrain AI

https://blog.uptrain.ai

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