the result of the query. Both queries will return the same result, which is the sum of the sales amounts for the last quarter.\n\nCORRECT',     'value': 'CORRECT',     'score': 1}Using Contextâ€‹Sometimes, reference labels aren't all available, but you have additional knowledge as context from a retrieval system. Often there may be additional information that isn't available to the model you want to evaluate. For this type of scenario, you can use the ContextQAEvalChain.eval_chain = load_evaluator("context_qa", eval_llm=llm)eval_chain.evaluate_strings(    input="Who won the NFC championship game in 2023?",    prediction="Eagles",    reference="NFC Championship Game 2023: Philadelphia Eagles 31, San Francisco 49ers 7",)    {'reasoning': None, 'value': 'CORRECT', 'score': 1}CoT With Contextâ€‹The same prompt strategies such as chain of thought can be used to make the evaluation results more reliable.