> ## Documentation Index
> Fetch the complete documentation index at: https://docs.trieve.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Update All Dataset Configurations

> Update the configurations for all datasets in an organization. Only the specified keys in the configuration object will be changed per dataset such that you can preserve dataset unique values. Auth'ed user or api key must have an owner role for the specified organization.



## OpenAPI

````yaml post /api/organization/update_dataset_configs
openapi: 3.0.3
info:
  title: Trieve API
  description: >-
    Trieve OpenAPI Specification. This document describes all of the operations
    available through the Trieve API.
  contact:
    name: Trieve Team
    url: https://trieve.ai
    email: developers@trieve.ai
  license:
    name: BSL
    url: https://github.com/devflowinc/trieve/blob/main/LICENSE.txt
  version: 0.13.0
servers:
  - url: https://api.trieve.ai
    description: Production server
  - url: http://localhost:8090
    description: Local development server
security: []
tags:
  - name: Invitation
    description: Invitation endpoint. Exists to invite users to an organization.
  - name: Auth
    description: Authentication endpoint. Serves to register and authenticate users.
  - name: User
    description: User endpoint. Enables you to modify user roles and information.
  - name: Organization
    description: >-
      Organization endpoint. Enables you to modify organization roles and
      information.
  - name: Dataset
    description: >-
      Dataset endpoint. Datasets belong to organizations and hold configuration
      information for both client and server. Datasets contain chunks and chunk
      groups.
  - name: Chunk
    description: >-
      Chunk endpoint. Think of chunks as individual searchable units of
      information. The majority of your integration will likely be with the
      Chunk endpoint.
  - name: Chunk Group
    description: >-
      Chunk groups endpoint. Think of a chunk_group as a bookmark folder within
      the dataset.
  - name: Crawl
    description: Crawl endpoint. Used to create and manage crawls for datasets.
  - name: File
    description: >-
      File endpoint. When files are uploaded, they are stored in S3 and broken
      up into chunks with text extraction from Apache Tika. You can upload files
      of pretty much any type up to 1GB in size. See chunking algorithm details
      at `docs.trieve.ai` for more information on how chunking works. Improved
      default chunking is on our roadmap.
  - name: Events
    description: >-
      Notifications endpoint. Files are uploaded asynchronously and events are
      sent to the user when the upload is complete.
  - name: Topic
    description: >-
      Topic chat endpoint. Think of topics as the storage system for gen-ai chat
      memory. Gen AI messages belong to topics.
  - name: Message
    description: >-
      Message chat endpoint. Messages are units belonging to a topic in the
      context of a chat with a LLM. There are system, user, and assistant
      messages.
  - name: Stripe
    description: >-
      Stripe endpoint. Used for the managed SaaS version of this app. Eventually
      this will become a micro-service. Reach out to the team using contact info
      found at `docs.trieve.ai` for more information.
  - name: Health
    description: Health check endpoint. Used to check if the server is up and running.
  - name: Metrics
    description: Metrics endpoint. Used to get information for monitoring
  - name: Analytics
    description: Analytics endpoint. Used to get information for search and RAG analytics
  - name: Experiment
    description: Experiment endpoint. Used to create and manage experiments
paths:
  /api/organization/update_dataset_configs:
    post:
      tags:
        - Organization
      summary: Update All Dataset Configurations
      description: >-
        Update the configurations for all datasets in an organization. Only the
        specified keys in the configuration object will be changed per dataset
        such that you can preserve dataset unique values. Auth'ed user or api
        key must have an owner role for the specified organization.
      operationId: update_all_org_dataset_configs
      parameters:
        - name: TR-Organization
          in: header
          description: The organization id to use for the request
          required: true
          schema:
            type: string
            format: uuid
      requestBody:
        description: The organization data that you want to create
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/UpdateAllOrgDatasetConfigsReqPayload'
        required: true
      responses:
        '204':
          description: >-
            Confirmation that the dataset ServerConfigurations were updated
            successfully
        '400':
          description: Service error relating to updating the dataset ServerConfigurations
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponseBody'
      security:
        - ApiKey:
            - owner
components:
  schemas:
    UpdateAllOrgDatasetConfigsReqPayload:
      type: object
      required:
        - to_configuration
      properties:
        match_configuration:
          description: The configuration to provide a filter on what datasets to update.
          nullable: true
        to_configuration:
          description: >-
            The new configuration for all datasets in the organization. Only the
            specified keys in the configuration object will be changed per
            dataset such that you can preserve dataset unique values.
      example:
        organization_id: 00000000-0000-0000-0000-000000000000
        server_configuration:
          AIMON_RERANKER_TASK_DEFINITION: >-
            Your task is to grade the relevance of context document(s) against
            the specified user query.
          BM25_AVG_LEN: 256
          BM25_B: 0.75
          BM25_ENABLED: true
          BM25_K: 0.75
          EMBEDDING_BASE_URL: https://api.openai.com/v1
          EMBEDDING_MODEL_NAME: text-embedding-3-small
          EMBEDDING_QUERY_PREFIX: ''
          EMBEDDING_SIZE: 1536
          FREQUENCY_PENALTY: 0
          FULLTEXT_ENABLED: true
          INDEXED_ONLY: false
          LLM_BASE_URL: https://api.openai.com/v1
          LLM_DEFAULT_MODEL: gpt-3.5-turbo-1106
          LOCKED: false
          MAX_LIMIT: 10000
          MESSAGE_TO_QUERY_PROMPT: >+
            Write a 1-2 sentence semantic search query along the lines of a
            hypothetical response to: 

          N_RETRIEVALS_TO_INCLUDE: 8
          PRESENCE_PENALTY: 0
          QDRANT_ONLY: false
          RAG_PROMPT: >-
            Use the following retrieved documents to respond briefly and
            accurately:
          SEMANTIC_ENABLED: true
          STOP_TOKENS:
            - |+


            - |+

          SYSTEM_PROMPT: You are a helpful assistant
          TEMPERATURE: 0.5
          USE_MESSAGE_TO_QUERY_PROMPT: false
    ErrorResponseBody:
      type: object
      required:
        - message
      properties:
        message:
          type: string
      example:
        message: Bad Request
  securitySchemes:
    ApiKey:
      type: apiKey
      in: header
      name: Authorization

````