Complete the code to create a filter dictionary for metadata with key 'category' and value 'science'.
filter = [1]The filter must be a dictionary with the key and value to match metadata entries.
Complete the code to pass the filter when calling the vector store's search method.
results = vector_store.search(query, filter=[1])The filter argument expects a dictionary specifying metadata keys and values to filter results.
Fix the error in the filter dictionary to correctly filter metadata where 'year' is 2023.
filter = [1]The filter must be a dictionary with the key as a string and the value as the integer 2023.
Fill both blanks to create a filter that matches documents with 'author' equal to 'Alice' and 'published' equal to True.
filter = [1]The filter dictionary must include both keys with their correct values to match the metadata.
Fill all three blanks to create a filter dictionary that matches documents with 'category' 'tech', 'year' 2024, and 'verified' True.
filter = [1]The filter dictionary must include all three keys with their correct values to filter properly.