Inserting document into vector via resource query results in timeout

Hey @Tugi_Baasansuren and @Jeje! I broke out these posts into a separate topic just to keep everything as organized and searchable as possible.

As it sounds like you've discovered, processing larger documents can take a bit of time and potentially cause queries to timeout. It's recommended that you configure a longer timeout via the query settings or break your data up into discrete documents.

One other thing to keep in mind - we enforce a rate limit on the OpenAI embeddings API that is used to create these vectors. I believe it's 1000 calls per hour, but I can double check that.