Contextual AI

Contextual AI Datastores API

Create and manage datastores that hold ingested knowledge.

Documentation GitHub OpenAPI

Operations 4

POST /datastores Create Datastore #

GET /datastores List Datastores #

GET /datastores/{datastore_id} Get Datastore Metadata #

DELETE /datastores/{datastore_id} Delete Datastore #

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OpenAPI Specification

openapi: 3.2.0
info:
  title: Contextual AI Platform Agents Datastores API
  description: REST API for the Contextual AI enterprise RAG platform. Provides agents (create / query grounded RAG agents), datastores and documents (ingest and manage the knowledge corpus), and standalone component APIs - Generate (grounded generation with the GLM), Rerank (instruction-following reranker), Parse (document parsing into AI-ready markdown), and LMUnit (natural-language unit-test evaluation). All endpoints authenticate with a Bearer API key.
  termsOfService: https://contextual.ai/terms-of-service/
  contact:
    name: Contextual AI Support
    url: https://docs.contextual.ai
    email: support@contextual.ai
  version: '1.0'
servers:
- url: https://api.contextual.ai/v1
  description: Contextual AI production API
security:
- bearerAuth: []
tags:
- name: Datastores
  description: Create and manage datastores that hold ingested knowledge.
paths:
  /datastores:
    post:
      operationId: createDatastore
      tags:
      - Datastores
      summary: Create Datastore
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/CreateDatastoreRequest'
      responses:
        '200':
          description: Datastore created.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/CreateDatastoreResponse'
        '422':
          $ref: '#/components/responses/ValidationError'
    get:
      operationId: listDatastores
      tags:
      - Datastores
      summary: List Datastores
      description: Retrieve a list of datastores, with cursor-based pagination.
      parameters:
      - name: cursor
        in: query
        required: false
        schema:
          type: string
      - name: limit
        in: query
        required: false
        schema:
          type: integer
          minimum: 1
          maximum: 1000
      responses:
        '200':
          description: A list of datastores.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ListDatastoresResponse'
        '422':
          $ref: '#/components/responses/ValidationError'
  /datastores/{datastore_id}:
    get:
      operationId: getDatastoreMetadata
      tags:
      - Datastores
      summary: Get Datastore Metadata
      parameters:
      - $ref: '#/components/parameters/DatastoreId'
      responses:
        '200':
          description: Datastore metadata.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Datastore'
        '422':
          $ref: '#/components/responses/ValidationError'
    delete:
      operationId: deleteDatastore
      tags:
      - Datastores
      summary: Delete Datastore
      parameters:
      - $ref: '#/components/parameters/DatastoreId'
      responses:
        '200':
          description: Datastore deleted.
        '422':
          $ref: '#/components/responses/ValidationError'
components:
  schemas:
    HTTPValidationError:
      type: object
      properties:
        detail:
          type: array
          items:
            $ref: '#/components/schemas/ValidationErrorDetail'
    ListDatastoresResponse:
      type: object
      properties:
        datastores:
          type: array
          items:
            $ref: '#/components/schemas/Datastore'
        next_cursor:
          type:
          - string
          - 'null'
    Datastore:
      type: object
      properties:
        id:
          type: string
          format: uuid
        name:
          type: string
        created_at:
          type: string
          format: date-time
    CreateDatastoreRequest:
      type: object
      required:
      - name
      properties:
        name:
          type: string
        configuration:
          type: object
    ValidationErrorDetail:
      type: object
      properties:
        loc:
          type: array
          items:
            oneOf:
            - type: string
            - type: integer
        msg:
          type: string
        type:
          type: string
    CreateDatastoreResponse:
      type: object
      properties:
        id:
          type: string
          format: uuid
  parameters:
    DatastoreId:
      name: datastore_id
      in: path
      required: true
      schema:
        type: string
        format: uuid
      description: ID of the datastore.
  responses:
    ValidationError:
      description: Validation error.
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/HTTPValidationError'
  securitySchemes:
    bearerAuth:
      type: http
      scheme: bearer
      description: Contextual AI API key supplied as a Bearer token.