Come caricare un documento vettorizzato su ai search usando REST API?

Question

Ciao a tutti, sto cercando di creare un Rag ed ho un dubbio: ho un documento e l'ho suddiviso in chunks, embeddato i singoli chunks con ada openai e adesso ho quindi i vettori dei singoli chunks. Creato l'indice etc.., devo caricare i documenti e sto usando come body:

{

    "value": [

        {

            "@search.action": "upload",

            "file_id": "d*********3",

            "file_name": "D*****************************e.pdf",

            "file_description": "*******************",

            "group_ids": ["********************"],

            "Tags": ["2023"],

            "DescriptionVector": ....... ,

            "ContentVector": ............

        }

]

}

Il description vector non mi dà problemi, il dubbio è sul content vector in quanto non sto capendo come passare tutti i chunks.-

Edited: Translated into English

How to upload a vectorized document to ai search using REST API?

Hi everyone, I'm trying to create a Rag and I have a doubt: I have a document and I divided it into chunks, embedded the individual chunks with ada openai and now I have the vectors of the individual chunks. Once the index etc. has been created, I need to load the documents and I'm using as body:

{

"value": [

    {

        "@search.action": "upload",

        "file_id": "d*********3",

        "file_name": "D*****************************e.pdf",

        "file_description": "********************",

        "group_ids": ["********************"],

        "Tags": ["2023"],

        "DescriptionVector": ....... ,

        "ContentVector": ............

    }
]

}



The description vector doesn't give me any problems, the doubt is about the content vector as I'm not understanding how to pass all the chunks.