> ## Documentation Index > Fetch the complete documentation index at: https://docs.gp.scale.com/llms.txt > Use this file to discover all available pages before exploring further. # List Vector Stores > List all vector stores in your account with pagination. Returns vector stores sorted by creation date (newest first). Each store includes its configuration, embedding model, dimensions, indexed fields, and timestamps. ## OpenAPI ````yaml https://api.dev-sgp.scale.com/openapi-versions/v5/openapi.json get /v5/vector-stores openapi: 3.1.0 info: title: EGP API V5 description: >- This is the parent API for all EGP APIs. If you are looking for the EGP API, please go to https://api.egp.scale.com/docs. contact: name: Scale Generative AI Platform url: https://scale.com/genai-platform version: 0.1.0 servers: - url: https://api.egp.scale.com security: [] paths: /v5/vector-stores: get: tags: - Vector Stores summary: List Vector Stores description: >- List all vector stores in your account with pagination. Returns vector stores sorted by creation date (newest first). Each store includes its configuration, embedding model, dimensions, indexed fields, and timestamps. operationId: GET-V5-/v5/vector-stores parameters: - name: starting_after in: query required: false schema: anyOf: - type: string - type: 'null' title: Starting After - name: ending_before in: query required: false schema: anyOf: - type: string - type: 'null' title: Ending Before - name: limit in: query required: false schema: type: integer maximum: 10000 minimum: 1 default: 100 title: Limit - name: sort_by in: query required: false schema: anyOf: - type: string - type: 'null' title: Sort By - name: sort_order in: query required: false schema: anyOf: - $ref: '#/components/schemas/SortOrder' - type: 'null' default: asc title: Sort Order - name: x-selected-account-id in: header required: false schema: anyOf: - type: string - type: 'null' title: Account ID Header responses: '200': description: Successful Response content: application/json: schema: $ref: '#/components/schemas/PaginatedList_VectorStoreResponse_' '422': description: Validation Error content: application/json: schema: $ref: '#/components/schemas/HTTPValidationError' security: - APIKeyHeader: [] components: schemas: SortOrder: type: string enum: - asc - desc title: SortOrder PaginatedList_VectorStoreResponse_: properties: object: type: string const: list title: Object default: list items: items: $ref: '#/components/schemas/VectorStoreResponse' type: array title: Items limit: type: integer title: Limit description: The maximum number of items to return. default: 100 total: type: integer title: Total description: >- The total of items that match the query. This is greater than or equal to the number of items returned. has_more: type: boolean title: Has More description: Whether there are more items left to be fetched. type: object required: - items - total - has_more HTTPValidationError: properties: detail: items: $ref: '#/components/schemas/ValidationError' type: array title: Detail type: object title: HTTPValidationError VectorStoreResponse: properties: name: type: string title: Name description: The name of the vector store embedding_config: $ref: '#/components/schemas/EmbeddingConfig' description: >- Embedding configuration identifying the model and its type. None for raw-embedding-only stores. embedding_dimensions: type: integer title: Embedding Dimensions description: Dimensionality of the embedding vectors indexed_metadata_fields: title: Indexed Metadata Fields description: Dictionary mapping metadata field names to their types additionalProperties: $ref: '#/components/schemas/DocumentFieldType' type: object created_at: type: string format: date-time title: Created At description: Timestamp of creation updated_at: type: string format: date-time title: Updated At description: Timestamp of last update type: object required: - name - embedding_dimensions - created_at - updated_at title: VectorStoreResponse description: Response model for vector store operations. ValidationError: properties: loc: items: anyOf: - type: string - type: integer type: array title: Location msg: type: string title: Message type: title: Error Type type: string input: title: Input ctx: type: object title: Context additionalProperties: true type: object required: - loc - msg - type title: ValidationError EmbeddingConfig: anyOf: - $ref: '#/components/schemas/EmbeddingConfigModelsAPI' - $ref: '#/components/schemas/EmbeddingConfigBase' title: EmbeddingConfig DocumentFieldType: type: string enum: - string - number - boolean title: DocumentFieldType description: |- Supported document field types for indexed metadata fields. Only STRING, NUMBER, and BOOLEAN types can be indexed for filtering. OBJECT and LIST values in document metadata are automatically stored as non-indexed fields and do not need to be declared here. EmbeddingConfigModelsAPI: properties: type: type: string const: models_api title: Type description: The type of the embedding configuration. model_deployment_id: type: string title: Model Deployment Id description: The ID of the deployment of the created model in the Models API V3. type: object required: - type - model_deployment_id title: EmbeddingConfigModelsAPI EmbeddingConfigBase: properties: type: type: string const: base title: Type description: The type of the embedding configuration. default: base embedding_model: $ref: '#/components/schemas/EmbeddingModelName' description: >- The name of the base embedding model to use. To use custom models, change to type 'models'. type: object required: - embedding_model title: EmbeddingConfigBase EmbeddingModelName: type: string enum: - sentence-transformers/all-MiniLM-L12-v2 - sentence-transformers/all-mpnet-base-v2 - sentence-transformers/multi-qa-distilbert-cos-v1 - sentence-transformers/paraphrase-multilingual-mpnet-base-v2 - openai/text-embedding-ada-002 - openai/text-embedding-3-small - openai/text-embedding-3-large - embed-english-v3.0 - embed-english-light-v3.0 - embed-multilingual-v3.0 - gemini/text-embedding-005 - gemini/text-multilingual-embedding-002 - gemini/gemini-embedding-001 title: EmbeddingModelName securitySchemes: APIKeyHeader: type: apiKey in: header name: x-api-key ````