> ## 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.

# Generate suggested queries

> This endpoint will generate 3 suggested queries based off a hybrid search using RAG with the query provided in the request body and return them as a JSON object.



## OpenAPI

````yaml post /api/chunk/suggestions
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/chunk/suggestions:
    post:
      tags:
        - Chunk
      summary: Generate suggested queries
      description: >-
        This endpoint will generate 3 suggested queries based off a hybrid
        search using RAG with the query provided in the request body and return
        them as a JSON object.
      operationId: get_suggested_queries
      parameters:
        - name: TR-Dataset
          in: header
          description: >-
            The dataset id or tracking_id to use for the request. We assume you
            intend to use an id if the value is a valid uuid.
          required: true
          schema:
            type: string
            format: uuid
      requestBody:
        description: JSON request payload to get alternative suggested queries
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/SuggestedQueriesReqPayload'
        required: true
      responses:
        '200':
          description: A JSON object containing a list of alternative suggested queries
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/SuggestedQueriesResponse'
        '400':
          description: >-
            Service error relating to to updating chunk, likely due to
            conflicting tracking_id
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponseBody'
      security:
        - ApiKey:
            - readonly
components:
  schemas:
    SuggestedQueriesReqPayload:
      type: object
      properties:
        context:
          type: string
          description: >-
            Context is the context of the query. This can be any string under 15
            words and 200 characters. The context will be used to generate the
            suggested queries. Defaults to None.
          nullable: true
        filters:
          allOf:
            - $ref: '#/components/schemas/ChunkFilter'
          nullable: true
        is_ecommerce:
          type: boolean
          description: >-
            Whether of not the suggested queries are being generated for
            ecommerce.
          nullable: true
        is_followup:
          type: boolean
          description: >-
            Whether or not the suggested queries are being generated for a
            followup question. If true, the suggested queries will be generated
            for a followup question. If false, the suggested queries will be
            generated for a new question.
          nullable: true
        query:
          type: string
          description: >-
            The query to base the generated suggested queries off of using RAG.
            A hybrid search for 10 chunks from your dataset using this query
            will be performed and the context of the chunks will be used to
            generate the suggested queries.
          nullable: true
        search_type:
          allOf:
            - $ref: '#/components/schemas/SearchMethod'
          nullable: true
        suggestion_type:
          allOf:
            - $ref: '#/components/schemas/SuggestType'
          nullable: true
        suggestions_to_create:
          type: integer
          description: The number of suggested queries to create, defaults to 10
          nullable: true
          minimum: 0
    SuggestedQueriesResponse:
      type: object
      required:
        - queries
      properties:
        queries:
          type: array
          items:
            type: string
    ErrorResponseBody:
      type: object
      required:
        - message
      properties:
        message:
          type: string
      example:
        message: Bad Request
    ChunkFilter:
      type: object
      description: >-
        ChunkFilter is a JSON object which can be used to filter chunks. This is
        useful for when you want to filter chunks by arbitrary metadata. Unlike
        with tag filtering, there is a performance hit for filtering on
        metadata.
      properties:
        must:
          type: array
          items:
            $ref: '#/components/schemas/ConditionType'
          description: >-
            All of these field conditions have to match for the chunk to be
            included in the result set.
          nullable: true
        must_not:
          type: array
          items:
            $ref: '#/components/schemas/ConditionType'
          description: >-
            None of these field conditions can match for the chunk to be
            included in the result set.
          nullable: true
        should:
          type: array
          items:
            $ref: '#/components/schemas/ConditionType'
          description: >-
            Only one of these field conditions has to match for the chunk to be
            included in the result set.
          nullable: true
      example:
        must:
          - field: tag_set
            match_all:
              - A
              - B
          - field: num_value
            range:
              gte: 10
              lte: 25
    SearchMethod:
      type: string
      enum:
        - fulltext
        - semantic
        - hybrid
        - bm25
    SuggestType:
      type: string
      enum:
        - question
        - keyword
        - semantic
    ConditionType:
      oneOf:
        - $ref: '#/components/schemas/FieldCondition'
        - $ref: '#/components/schemas/HasChunkIDCondition'
      description: >-
        Filters can be constructed using either fields on the chunk objects, ids
        or tracking ids of chunks, and finally ids or tracking ids of groups.
    FieldCondition:
      type: object
      description: >-
        FieldCondition is a JSON object which can be used to filter chunks by a
        field. This is useful for when you want to filter chunks by arbitrary
        metadata. To access fields inside of the metadata that you provide with
        the card, prefix the field name with `metadata.`.
      required:
        - field
      properties:
        boolean:
          type: boolean
          description: >-
            Boolean is a true false value for a field. This only works for
            boolean fields. You can specify this if you want values to be true
            or false.
          nullable: true
        date_range:
          allOf:
            - $ref: '#/components/schemas/DateRange'
          nullable: true
        field:
          type: string
          description: >-
            Field is the name of the field to filter on. Commonly used fields
            are `timestamp`, `link`, `tag_set`, `location`, `num_value`,
            `group_ids`, and `group_tracking_ids`. The field value will be used
            to check for an exact substring match on the metadata values for
            each existing chunk. This is useful for when you want to filter
            chunks by arbitrary metadata. To access fields inside of the
            metadata that you provide with the card, prefix the field name with
            `metadata.`.
        geo_bounding_box:
          allOf:
            - $ref: '#/components/schemas/LocationBoundingBox'
          nullable: true
        geo_polygon:
          allOf:
            - $ref: '#/components/schemas/LocationPolygon'
          nullable: true
        geo_radius:
          allOf:
            - $ref: '#/components/schemas/LocationRadius'
          nullable: true
        match_all:
          type: array
          items:
            $ref: '#/components/schemas/MatchCondition'
          description: >-
            Match all lets you pass in an array of values that will return
            results if all of the items match. The match value will be used to
            check for an exact substring match on the metadata values for each
            existing chunk. If both match_all and match_any are provided, the
            match_any condition will be used.
          nullable: true
        match_any:
          type: array
          items:
            $ref: '#/components/schemas/MatchCondition'
          description: >-
            Match any lets you pass in an array of values that will return
            results if any of the items match. The match value will be used to
            check for an exact substring match on the metadata values for each
            existing chunk. If both match_all and match_any are provided, the
            match_any condition will be used.
          nullable: true
        range:
          allOf:
            - $ref: '#/components/schemas/Range'
          nullable: true
      example:
        field: metadata.key1
        match:
          - value1
          - value2
        range:
          gt: 0
          gte: 0
          lt: 1
          lte: 1
    HasChunkIDCondition:
      type: object
      description: >-
        HasChunkIDCondition is a JSON object which can be used to filter chunks
        by their ids or tracking ids. This is useful for when you want to filter
        chunks by their ids or tracking ids.
      properties:
        ids:
          type: array
          items:
            type: string
            format: uuid
          description: >-
            Ids of the chunks to apply a match_any condition with. Only chunks
            with one of these ids will be returned.
          nullable: true
        tracking_ids:
          type: array
          items:
            type: string
          description: >-
            Tracking ids of the chunks to apply a match_any condition with. Only
            chunks with one of these tracking ids will be returned.
          nullable: true
    DateRange:
      type: object
      description: >-
        DateRange is a JSON object which can be used to filter chunks by a range
        of dates. This leverages the time_stamp field on chunks in your dataset.
        You can specify this if you want values in a certain range. You must
        provide ISO 8601 combined date and time without timezone.
      properties:
        gt:
          type: string
          nullable: true
        gte:
          type: string
          nullable: true
        lt:
          type: string
          nullable: true
        lte:
          type: string
          nullable: true
      example:
        gt: '2021-01-01 00:00:00.000'
        gte: '2021-01-01 00:00:00.000'
        lt: '2021-01-01 00:00:00.000'
        lte: '2021-01-01 00:00:00.000'
    LocationBoundingBox:
      type: object
      required:
        - top_left
        - bottom_right
      properties:
        bottom_right:
          $ref: '#/components/schemas/GeoInfo'
        top_left:
          $ref: '#/components/schemas/GeoInfo'
    LocationPolygon:
      type: object
      required:
        - exterior
      properties:
        exterior:
          type: array
          items:
            $ref: '#/components/schemas/GeoInfo'
        interior:
          type: array
          items:
            type: array
            items:
              $ref: '#/components/schemas/GeoInfo'
          nullable: true
    LocationRadius:
      type: object
      required:
        - center
        - radius
      properties:
        center:
          $ref: '#/components/schemas/GeoInfo'
        radius:
          type: number
          format: double
    MatchCondition:
      oneOf:
        - type: string
        - type: integer
          format: int64
        - type: number
          format: double
    Range:
      type: object
      properties:
        gt:
          allOf:
            - $ref: '#/components/schemas/RangeCondition'
          nullable: true
        gte:
          allOf:
            - $ref: '#/components/schemas/RangeCondition'
          nullable: true
        lt:
          allOf:
            - $ref: '#/components/schemas/RangeCondition'
          nullable: true
        lte:
          allOf:
            - $ref: '#/components/schemas/RangeCondition'
          nullable: true
      example:
        gt: 0
        gte: 0
        lt: 1
        lte: 1
    GeoInfo:
      type: object
      description: Location that you want to use as the center of the search.
      required:
        - lat
        - lon
      properties:
        lat:
          $ref: '#/components/schemas/GeoTypes'
        lon:
          $ref: '#/components/schemas/GeoTypes'
    RangeCondition:
      oneOf:
        - type: number
          format: double
        - type: integer
          format: int64
    GeoTypes:
      oneOf:
        - type: integer
          format: int64
        - type: number
          format: double
  securitySchemes:
    ApiKey:
      type: apiKey
      in: header
      name: Authorization

````