Do you have metadata or index names that exceed the limits? Are you positive they don’t?
Do you have metadata or index names that exceed the limits? Are you positive they don’t?
{"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 includeMetadata param{"content":"..."}...await env.<INDEX>.query(vector, { topK: 1})TypeError: Cannot read properties of undefined (reading '0')reading '0'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
}interface EmbeddingResponse {
shape: number[];
data: number[][];
}includeMetadataException Thrown @ 12/1/2023, 12:06:34 PM
(log) {
count: 2,
matches: [
{ vectorId: 'hzz2v', score: 0.804275747, vector: [Object] },
{ vectorId: 'aml6o', score: 0.726804477, vector: [Object] }
]
}let contextResult = await env.DEMO_VECTORDB.query(queryVector, { topK: 5, returnMetadata: true })