is the 1000 namespace limit going to be lifted post beta, or what sort of an increase are we expecti
is the 1000 namespace limit going to be lifted post beta, or what sort of an increase are we expecting?

@/path/to/vectors.ndjson not clickable? I have no clue how to continue:
Content-Type headers have been set to application/x-ndjson. The server returns "unexpected - Internal server error" with status code 500.returnMetadata: true parameter, as listed in https://developers.cloudflare.com/vectorize/platform/client-api/#query-vectors{"content":"..."} with the ... being less than 8'000 for all elements. Which should guarantee that it's less than 10KiB, right?await env.<INDEX>.query(vector, { topK: 1}), in some cases it simply fails and returns the following error message: TypeError: Cannot read properties of undefined (reading '0')reading '0' isn't constant either, sometimes the number is different, and different userQueries result in different numbers. 
data array is sometimes undefined, not sure why but that should be my problem {"id":"1","values":[32.4,74.1,3.2],"metadata":{"path":"r2://bucket-name/path/to/image.png","format":"png","category":"profile_image"}}
{"id":"1","values":[32.4,74.1,3.2],"metadata":{"path":"r2://bucket-name/path/to/image.png","format":"png","category":"profile_image"}}export async function getEmbedResponse(env: Environment, userQuery: string, data: string[]): Promise<{ score: number, result: string }> {
const ai = new Ai(env.AI)
const queryVector: EmbeddingResponse = await ai.run('@cf/baai/bge-base-en-v1.5', {
text: [userQuery],
})
let matches = await env.<INDEX>.query(queryVector.data[0], { topK: 1 })
const embedAiResponse = { score: matches.matches[0].score, result: data[parseInt(matches.matches[0].vectorId)] }
return embedAiResponse
}