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

# Query a Customer

> Returns semantically similar content based on the input query



## OpenAPI

````yaml POST /query/customer
openapi: 3.1.0
info:
  title: LiquidIndex API
  description: >-
    LiquidIndex API provides semantic search and document processing
    capabilities. The API enables users to upload documents and perform semantic
    queries across their content.
  version: 1.0.0
servers:
  - url: https://api.liquidindex.dev/
security:
  - bearerAuth: []
paths:
  /query/customer:
    post:
      summary: Query a customer
      description: Returns semantically similar content based on the input query
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              required:
                - customer_id
                - query
              properties:
                customer_id:
                  type: string
                  description: The Customer ID to query from
                query:
                  type: string
                  description: The input text used to find similar matches
                top_k:
                  type: integer
                  description: Number of matches to return
                  default: 5
                include_llm:
                  type: boolean
                  description: Whether to include the LLM response in the response
                  default: true
      responses:
        '200':
          description: Successful query response
          content:
            application/json:
              schema:
                type: object
                required:
                  - results
                  - usage
                properties:
                  results:
                    type: object
                    required:
                      - chunks
                    properties:
                      chunks:
                        type: array
                        items:
                          $ref: '#/components/schemas/Query'
                      llm:
                        type: string
                        description: LLM generated response based on the query and chunks
                  usage:
                    type: object
                    required:
                      - read_units
                      - embedding_units
                    properties:
                      read_units:
                        type: integer
                        description: Number of read units consumed
                      embedding_units:
                        type: integer
                        description: Number of embedding units consumed
        '400':
          description: Bad request
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Error'
components:
  schemas:
    Query:
      type: object
      required:
        - score
        - content
        - metadata
      properties:
        score:
          type: number
          format: double
          description: Similarity score of the matched content
        content:
          type: string
          description: The matched content
        metadata:
          type: object
          description: Additional information about the matched content
          required:
            - id
            - file
            - source
            - type
          properties:
            id:
              type: string
              description: Unique identifier of the content
            file:
              type: string
              description: Source file name
            source:
              type: string
              description: Content source (e.g., Google Docs, Notion)
            type:
              type: string
              description: Content type (e.g., TEXT, IMAGE, VIDEO)
    Error:
      type: object
      required:
        - error
      properties:
        error:
          type: string
          description: Error message describing what went wrong
  securitySchemes:
    bearerAuth:
      type: http
      scheme: bearer

````