---
title: "Retrieves a vector store."
url: "https://kongair.terwilligar.com/apis/openai-api-2-3-0/versions/ea92d048-c746-4ead-a6a8-da28d93137d1/operations/getVectorStore"
---

> Full API specification: https://kongair.terwilligar.com/apis/openai-api-2-3-0/versions/ea92d048-c746-4ead-a6a8-da28d93137d1.md

# Retrieves a vector store.

`GET` `/vector_stores/{vector_store_id}`

Operation ID: `getVectorStore`

## Path parameters

- `vector_store_id` (string, required) - The ID of the vector store to retrieve.

## Responses

- `200` - OK

## OpenAPI definition

```yaml
openapi: 3.0.0
info:
  title: OpenAI API
  version: 2.3.0
servers:
  - url: https://api.openai.com/v1
paths:
  /vector_stores/{vector_store_id}:
    get:
      operationId: getVectorStore
      tags:
        - Vector stores
      summary: Retrieves a vector store.
      parameters:
        - in: path
          name: vector_store_id
          required: true
          schema:
            type: string
          description: The ID of the vector store to retrieve.
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/VectorStoreObject"
      x-oaiMeta:
        name: Retrieve vector store
        group: vector_stores
        beta: true
        returns: The [vector store](/docs/api-reference/vector-stores/object) object
          matching the specified ID.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/vector_stores/vs_abc123 \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: application/json" \
                -H "OpenAI-Beta: assistants=v2"
            python: |
              from openai import OpenAI
              client = OpenAI()

              vector_store = client.beta.vector_stores.retrieve(
                vector_store_id="vs_abc123"
              )
              print(vector_store)
            node.js: |
              import OpenAI from "openai";
              const openai = new OpenAI();

              async function main() {
                const vectorStore = await openai.beta.vectorStores.retrieve(
                  "vs_abc123"
                );
                console.log(vectorStore);
              }

              main();
          response: |
            {
              "id": "vs_abc123",
              "object": "vector_store",
              "created_at": 1699061776
            }
security:
  - ApiKeyAuth: []
components:
  schemas:
    VectorStoreObject:
      type: object
      title: Vector store
      description: A vector store is a collection of processed files can be used by
        the `file_search` tool.
      properties:
        id:
          description: The identifier, which can be referenced in API endpoints.
          type: string
        object:
          description: The object type, which is always `vector_store`.
          type: string
          enum:
            - vector_store
          x-stainless-const: true
        created_at:
          description: The Unix timestamp (in seconds) for when the vector store was
            created.
          type: integer
        name:
          description: The name of the vector store.
          type: string
        usage_bytes:
          description: The total number of bytes used by the files in the vector store.
          type: integer
        file_counts:
          type: object
          properties:
            in_progress:
              description: The number of files that are currently being processed.
              type: integer
            completed:
              description: The number of files that have been successfully processed.
              type: integer
            failed:
              description: The number of files that have failed to process.
              type: integer
            cancelled:
              description: The number of files that were cancelled.
              type: integer
            total:
              description: The total number of files.
              type: integer
          required:
            - in_progress
            - completed
            - failed
            - cancelled
            - total
        status:
          description: The status of the vector store, which can be either `expired`,
            `in_progress`, or `completed`. A status of `completed` indicates
            that the vector store is ready for use.
          type: string
          enum:
            - expired
            - in_progress
            - completed
        expires_after:
          $ref: "#/components/schemas/VectorStoreExpirationAfter"
        expires_at:
          description: The Unix timestamp (in seconds) for when the vector store will
            expire.
          type: integer
          nullable: true
        last_active_at:
          description: The Unix timestamp (in seconds) for when the vector store was last
            active.
          type: integer
          nullable: true
        metadata:
          $ref: "#/components/schemas/Metadata"
      required:
        - id
        - object
        - usage_bytes
        - created_at
        - status
        - last_active_at
        - name
        - file_counts
        - metadata
      x-oaiMeta:
        name: The vector store object
        beta: true
        example: |
          {
            "id": "vs_123",
            "object": "vector_store",
            "created_at": 1698107661,
            "usage_bytes": 123456,
            "last_active_at": 1698107661,
            "name": "my_vector_store",
            "status": "completed",
            "file_counts": {
              "in_progress": 0,
              "completed": 100,
              "cancelled": 0,
              "failed": 0,
              "total": 100
            },
            "metadata": {},
            "last_used_at": 1698107661
          }
    VectorStoreExpirationAfter:
      type: object
      title: Vector store expiration policy
      description: The expiration policy for a vector store.
      properties:
        anchor:
          description: "Anchor timestamp after which the expiration policy applies.
            Supported anchors: `last_active_at`."
          type: string
          enum:
            - last_active_at
          x-stainless-const: true
        days:
          description: The number of days after the anchor time that the vector store will
            expire.
          type: integer
          minimum: 1
          maximum: 365
      required:
        - anchor
        - days
    Metadata:
      type: object
      description: >
        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.
      additionalProperties:
        type: string
      x-oaiTypeLabel: map
      nullable: true
  securitySchemes:
    ApiKeyAuth:
      type: http
      scheme: bearer
```