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Create vector store file batch

VectorStoreFileBatch vectorStores().fileBatches().create(FileBatchCreateParamsparams = FileBatchCreateParams.none(), RequestOptionsrequestOptions = RequestOptions.none())
POST/vector_stores/{vector_store_id}/file_batches

Create a vector store file batch.

ParametersExpand Collapse
FileBatchCreateParams params
Optional<String> vectorStoreId
Optional<Attributes> attributes

Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters, booleans, or numbers.

String
double
boolean
Optional<FileChunkingStrategyParam> chunkingStrategy

The chunking strategy used to chunk the file(s). If not set, will use the auto strategy. Only applicable if file_ids is non-empty.

Optional<List<String>> fileIds

A list of File IDs that the vector store should use. Useful for tools like file_search that can access files. If attributes or chunking_strategy are provided, they will be applied to all files in the batch. Mutually exclusive with files.

Optional<List<File>> files

A list of objects that each include a file_id plus optional attributes or chunking_strategy. Use this when you need to override metadata for specific files. The global attributes or chunking_strategy will be ignored and must be specified for each file. Mutually exclusive with file_ids.

String fileId

A File ID that the vector store should use. Useful for tools like file_search that can access files.

Optional<Attributes> attributes

Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters, booleans, or numbers.

Accepts one of the following:
String
double
boolean
Optional<FileChunkingStrategyParam> chunkingStrategy

The chunking strategy used to chunk the file(s). If not set, will use the auto strategy. Only applicable if file_ids is non-empty.

Accepts one of the following:
class AutoFileChunkingStrategyParam:

The default strategy. This strategy currently uses a max_chunk_size_tokens of 800 and chunk_overlap_tokens of 400.

JsonValue; type "auto"constant"auto"constant

Always auto.

class StaticFileChunkingStrategyObjectParam:

Customize your own chunking strategy by setting chunk size and chunk overlap.

long chunkOverlapTokens

The number of tokens that overlap between chunks. The default value is 400.

Note that the overlap must not exceed half of max_chunk_size_tokens.

long maxChunkSizeTokens

The maximum number of tokens in each chunk. The default value is 800. The minimum value is 100 and the maximum value is 4096.

minimum100
maximum4096
JsonValue; type "static"constant"static"constant

Always static.

ReturnsExpand Collapse
class VectorStoreFileBatch:

A batch of files attached to a vector store.

String id

The identifier, which can be referenced in API endpoints.

long createdAt

The Unix timestamp (in seconds) for when the vector store files batch was created.

FileCounts fileCounts
long cancelled

The number of files that where cancelled.

long completed

The number of files that have been processed.

long failed

The number of files that have failed to process.

long inProgress

The number of files that are currently being processed.

long total

The total number of files.

JsonValue; object_ "vector_store.files_batch"constant"vector_store.files_batch"constant

The object type, which is always vector_store.file_batch.

Status status

The status of the vector store files batch, which can be either in_progress, completed, cancelled or failed.

Accepts one of the following:
IN_PROGRESS("in_progress")
COMPLETED("completed")
CANCELLED("cancelled")
FAILED("failed")
String vectorStoreId

The ID of the vector store that the File is attached to.

Create vector store file batch

package com.openai.example;

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.vectorstores.filebatches.FileBatchCreateParams;
import com.openai.models.vectorstores.filebatches.VectorStoreFileBatch;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        OpenAIClient client = OpenAIOkHttpClient.fromEnv();

        VectorStoreFileBatch vectorStoreFileBatch = client.vectorStores().fileBatches().create("vs_abc123");
    }
}
{
  "id": "id",
  "created_at": 0,
  "file_counts": {
    "cancelled": 0,
    "completed": 0,
    "failed": 0,
    "in_progress": 0,
    "total": 0
  },
  "object": "vector_store.files_batch",
  "status": "in_progress",
  "vector_store_id": "vector_store_id"
}
Returns Examples
{
  "id": "id",
  "created_at": 0,
  "file_counts": {
    "cancelled": 0,
    "completed": 0,
    "failed": 0,
    "in_progress": 0,
    "total": 0
  },
  "object": "vector_store.files_batch",
  "status": "in_progress",
  "vector_store_id": "vector_store_id"
}