---
title: "Search embeddings"
method: POST
path: "/document_intelligence/embeddings/search"
tags: ["Document AI — AI Document Operations"]
---

# Search embeddings

`POST /document_intelligence/embeddings/search`

## Request

- Base URL: `https://api.paperoffice.ai/latest`
- URL: `https://api.paperoffice.ai/latest/document_intelligence/embeddings/search`
- Auth: HTTP bearer

Direct semantic vector search over Document Intelligence embeddings. Choose embedding type (document_summary, page, paragraph, metadata), min-score and workspace filter.

## Response `200`

Success

- object
  - `_billing` object
    - `credits` object
      - `total_monthly` integer
      - `remaining_monthly` integer
      - `credit_source` string
      - `api_handler` string
      - `tier_info` object
        - `tier` string
        - `name` string
        - `initial_credits` integer
        - `price_monthly` integer
        - `price_overage_per_credit` integer
      - `notice` string
      - `renewal_days` integer
      - `subscription_status` string
    - `job` object
      - `api_job_name` string
      - `app` string
      - `action` string
      - `option` string
      - `default_credits` integer
      - `credits_billed` integer
      - `pricing` object
        - `credits_per_unit` integer
        - `unit` string
        - `unit_count` integer
        - `addons` string
    - `requests` object
      - `limits` object
        - `second` integer
        - `minute` integer
        - `hour` integer
        - `day` integer
      - `current` object
        - `second` integer
        - `minute` integer
        - `hour` integer
        - `day` integer
      - `remaining` object
        - `second` integer
        - `minute` integer
        - `hour` integer
        - `day` integer
      - `next_possible_request_seconds` integer
    - `remaining_credits` integer
    - `total_monthly` integer
    - `account_id` integer
    - `plan` object
      - `tier` string
      - `name` string
    - `credits_billed` integer
  - `embedding_type` string
  - `min_score` number
  - `processing_time` string
  - `query` string
  - `results` object[]
    - `id` integer
    - `score` number
    - `document` object
      - `documents_id` integer
      - `pofid` string
      - `file_name` string
      - `workspace_id` integer
    - `embedding_type` string
    - `page_number` string
    - `chunk_index` string
    - `source_text` string
  - `status` string
  - `total` integer
  - `workspace_id` string

## Other responses

- `4XX`: Error
- `5XX`: Error

---

[API](https://skmtc.dev/paperoffice/apis/paperoffice-ai-api.md) · [All operations](https://skmtc.dev/paperoffice/apis/paperoffice-ai-api/llms.txt) · [OpenAPI document](https://skmtc.dev/paperoffice/apis/paperoffice-ai-api/revisions/c6a6228a4509?raw)