Query configs

Index struct type is used to specify the config type. The type should line up with one of the types of indexes in your graph (list is GPTListIndex, simple_dict is GPTSimpleVectorIndex, etc).

query_kwargs are the extra options for the config. Like sometimes you might do query(..., similarity_top_k=3), so similarity_top_k is a kwarg

thank you @Logan M , it seems like in that example there are query_configs than indices. does it map 1:1 to the number of indices?

Not 1:1, just one per type

If you want to specify a config for a specific vector index when you have a ton of vector indexes, you can use the ids (like wiki title there)

ok thank you, that makes much more sense. so number of query configs <= number of indices

actually, that doesn't follow from your statement, my mistake.

since it's per type.

Yea you got it, per type

Just need to keep track of what you put in the graph 💪

Hi Logan, thanks for your patience.
it looks like in the screenshot i shared above, there's no need to specify a config for each vector index, correct? you could simply have one entry in query_config for index_struct_type simple_dict

since the config for each vector index is the same

exactly!

ah ok, great. thanks! I think I'm finally understanding the nitty gritty parts of the unified interface 😅