DataRobot Vector Databases API

The following endpoints outline how to manage vector databases.

Operations 28

GET /api/v2/genai/customModelEmbeddingValidations/ List custom model embedding validations #
POST /api/v2/genai/customModelEmbeddingValidations/ Validate custom model embedding #
DELETE /api/v2/genai/customModelEmbeddingValidations/{validationId}/ Delete custom model embedding validation by validation ID #
GET /api/v2/genai/customModelEmbeddingValidations/{validationId}/ Retrieve custom model embedding validation status by validation ID #
PATCH /api/v2/genai/customModelEmbeddingValidations/{validationId}/ Edit custom model embedding validation by validation ID #
POST /api/v2/genai/customModelEmbeddingValidations/{validationId}/revalidate/ Revalidate custom model embedding by validation ID #
GET /api/v2/genai/customModelVectorDatabaseValidations/ List custom model vector database validations #
POST /api/v2/genai/customModelVectorDatabaseValidations/ Validate custom model vector database #
DELETE /api/v2/genai/customModelVectorDatabaseValidations/{validationId}/ Delete custom model vector database validation by validation ID #
GET /api/v2/genai/customModelVectorDatabaseValidations/{validationId}/ Retrieve custom model vector database validation status by validation ID #
PATCH /api/v2/genai/customModelVectorDatabaseValidations/{validationId}/ Edit custom model vector database validation by validation ID #
POST /api/v2/genai/customModelVectorDatabaseValidations/{validationId}/revalidate/ Revalidate custom model vector database by validation ID #
GET /api/v2/genai/vectorDatabases/ List vector databases #
POST /api/v2/genai/vectorDatabases/ Create vector database #
POST /api/v2/genai/vectorDatabases/fromCustomModelDeployment/ Create a vector databases from a custom model deployment #
GET /api/v2/genai/vectorDatabases/supportedEmbeddings/ List supported embedding models #
GET /api/v2/genai/vectorDatabases/supportedRetrievalSettings/ List supported vector database retrieval settings #
GET /api/v2/genai/vectorDatabases/supportedTextChunkings/ List supported text chunking methods #
DELETE /api/v2/genai/vectorDatabases/{vectorDatabaseId}/ Delete vector database by vector database ID #
GET /api/v2/genai/vectorDatabases/{vectorDatabaseId}/ Retrieve vector database by vector database ID #
PATCH /api/v2/genai/vectorDatabases/{vectorDatabaseId}/ Edit vector database by vector database ID #
POST /api/v2/genai/vectorDatabases/{vectorDatabaseId}/customModelVersions/ Create custom model version by vector database ID #
POST /api/v2/genai/vectorDatabases/{vectorDatabaseId}/datasetExportJobs/ Export vector database dataset by vector database ID #
POST /api/v2/genai/vectorDatabases/{vectorDatabaseId}/deployments/ Create new custom model version by vector database ID #
PATCH /api/v2/genai/vectorDatabases/{vectorDatabaseId}/externalVectorDatabaseDocuments/ Add documents by vector database ID #
GET /api/v2/genai/vectorDatabases/{vectorDatabaseId}/latestVersion/ Retrieve vector database latest version by vector database ID #
GET /api/v2/genai/vectorDatabases/{vectorDatabaseId}/supportedSyntheticDatasetGenerationLanguages/ List supported languages by vector database ID #
GET /api/v2/genai/vectorDatabases/{vectorDatabaseId}/textAndEmbeddings/ Retrieve text chunks and embeddings by vector database ID #

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OpenAPI Specification

datarobot-vector-databases-api-openapi.yml Raw ↑
openapi: 3.2.0
info:
  contact:
    email: support@datarobot.com
    name: DataRobot Support
    url: https://support.datarobot.com
  description: DataRobot's Public facing API
  license:
    name: DataRobot Tool and Utility Agreement
    url: https://www.datarobot.com/wp-content/uploads/2021/07/DataRobot-Tool-and-Utility-Agreement.pdf
  title: Public Vector Databases API
  version: 2.49.0
  x-datarobot-release-version: Latest
servers:
- url: https://app.datarobot.com/
security:
- BearerAuth: []
tags:


# --- truncated at 32 KB (117 KB total) ---
# Full source: https://artifacts.apis.io/datarobot/openapi/datarobot-vector-databases-api-openapi.yml