Hi I want to use Google's

text-embedding-005

model, but the docs aren't super clear on how Typesense handles embedding documents (or I missed it): • I want to create 256 dimensions embeddings... is setting

num_dim

enough? • Google has this concept of Task Types - is that used? Using

RETRIEVAL_DOCUMENT

and

RETRIEVAL_QUERY

might be optimal...not 100% sure. • I write to this collection daily, but the fields I want to embed don't change that often, does Typesense only update the embedding if an

embed.from

field changes? Or does a write event trigger a re-computation regardless? • I have a collection with ~800k documents... is it worth trying a batch size above 200? Not sure if I'll hit rate limits or anything. • One of the fields I want to embed can be very long - do you truncate it to a certain max length? • How do you preprocess and format/order the embedding if there's multiple

embed.from

fields (and arrays etc).?