A Python-based retrieval-augmented generation (RAG) system for evaluating different retrieval approaches on safety-critical documentation, specifically the UR5e Universal Robots User Manual. This ...
Traditional RAG systems treat these as 3 separate queries, making 3 LLM calls and charging you 3 times.
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