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{{ variable_name }}
.
"I am asking for health improvement advice for someone who is looking to lose weight and is currently inactive."
"What are the best exercises to start with for weight loss?"
"I am asking for health improvement advice for someone who is looking to lose weight and is currently inactive."
"What are the best exercises to start with for weight loss?"
"Give me an answer to the following query: {{ Query }} using the given context: {{ RAG_Context }}."
Here, the AI understands both the RAG_context (the background information about losing weight and being inactive) and the Query (the specific question about exercises). This combination leads to a more accurate and relevant response.
Why Use Pre-Built Variables?
+Variable
.
"I live in a hot, humid climate."
"I am 35 years old."
"Give me an answer to the following query: {{ Query }} using the given context: {{ RAG_Context }}, considering the location: {{ Location }}, and the age: {{ Age }}."
"I need health advice for someone trying to lose weight."
"What are the best practices for weight loss?"
"Give me an answer to the following query: {{ Query }} using the given context: {{ RAG_Context }}."
When the AI processes this, it will:
"I need health advice for someone trying to lose weight."
"What exercises are best for weight loss?"
+variable
. When you click on it, you can see the RAG_Context and queries you’ve used before. This makes it easy to check your past inputs without having to enter them again.