Design a prompt$/$workflow that queries the vector DB for context based on a user query. Design a prompt$/$workflow that takes user queries like the ones you defined above and queries the vector DB to find relevant content. The output of your prompt$/$workflow should be a query object with:

the $$content$\_$string$\_$query$$ property, which will be embedded for querying nearby documents,

an optional $$industry$\_$filter$$ property, which can be used to filter documents on predefined industry sectors$.$ Please see Overview section for the list of tags and how they work,

an optional $$takeaways$\_$filter$$ property, which can be used to filter documents based on predefined takeaway tags. Please see Overview section for the list of tags and how they work.

$\{$

content$\_$string$\_$query: $[$string that will be used to query the vector DB for passages close to the string within the embedding$],$

industry$\_$filter: $[$an optional property containing an array of one or more predefined industry sector tags you$$d like to filter on$],$

takeaways$\_$filter: $[$an optional property containing an array of one or more predefined takeaways tags you$$d like to filter on$],$

$\}$