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Couple things happened here... there's a lot more interaction with the LLM in Langchain; specifically rephrasing questions to be contextually aware and grading the documents for accuracy. In the case of the testbed, rephrasing is not required; so this has been conditional'd out speeding up the responses. Grading is still occurring which will impact performance. This should be looked at in terms of the testbed.
Testbed loops on evaluation and never comes back (Ollama running on desktop)
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