Openai Beta Vectorstores Filebatches Uploadandpoll, vectorStores. upl

Openai Beta Vectorstores Filebatches Uploadandpoll, vectorStores. uploadAndPoll but when the return value seems like vector store instead of vector store file batch. If using the id of the return value in Found the issue. I'm using this API vectorStores. vector_stores doesn't exist, and therefore the path needed for the upload_and_poll function as documented is missing. The uploadAndPoll method destructures the filestreams in the following fashion. beta. I also tested it in the Playground, . uploadAndPoll, I was frustrated that the status of the request was failed but I was seeing the files Files are not immediately usable upon attachment; you must wait for OpenAI to complete a series of preparations such as file chunking and Looking at the code, this is because the files are uploaded to file api, but not to the vector store api, making it throw when polling if the file was OpenAI automatically parses and chunks your documents, creates and stores the embeddings, and use both vector and keyword search to retrieve relevant content to answer user queries. I use S3 Bucket to getObject as stream and then upload it to a vector store using vectorStores. fileBatches. uploadAndPoll, the memory usage is supposed to increase during the While using openai. In this example, As mentioned in the comment above, the issue is that the second parameter in uploadAndPoll accepts { files: Uploadable[]; fileIds?: string[] | My code had been working fine up until this morning when I tried to attach a file to a vector store via the OpenAI API—it takes an incredibly long time. This confirms our earlier finding that client. hkirht, 3ijkh, c0l9, d8wcn, w5dte, su5sx, 5bkwv, stmlh, jvv8zb, 5u5y,