Your RAG Pipeline Retrieves the Right Docs. Your LLM Still Gives the Wrong Answer. Here's Why.

Engineers building Retrieval-Augmented Generation (RAG) systems face challenges in context assembly between retrieval and generation steps, leading to incorrect answers despite accurate document retrieval. This issue arises from inadequate handling of context ranking, filtering, and positioning, emphasizing the need for robust context assembly layers to ensure reliable RAG performance in production environments.

Read the full article at Towards AI - Medium

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