---
title: "Get a paragraph with surrounding context"
method: GET
path: "/paragraphs/{ref}/context"
tags: ["Paragraphs"]
---

# Get a paragraph with surrounding context

`GET /paragraphs/{ref}/context`

Returns the target paragraph along with N paragraphs before and after it (ordered by sort_id).
Useful for AI agents doing RAG that need surrounding context for better understanding.
The `window` query parameter controls how many paragraphs before/after to include (default: 2, max: 10).

Use `?include=entities` to include typed entity mentions in the response.

## Path parameters

- `ref` string, required

## Query parameters

- `window` integer
- `include` string
- `format` 'default' | 'rag'
- `lang` 'eng' | 'es' | 'fr' | 'pt' | 'de' | 'ko'

## Response `200`

Paragraph with context

- object
  - `data` object, required
    - `target` object, required
      - `id` string, required
      - `standardReferenceId` string, required
      - `sortId` string, required
      - `paperId` string, required
      - `sectionId` string, nullable, required
      - `partId` string, required
      - `paperTitle` string, required
      - `sectionTitle` string, nullable, required
      - `paragraphId` string, required
      - `text` string, required
      - `htmlText` string, required
      - `language` string
      - `labels` string[], nullable, required
      - `audio` object, nullable, required
      - `entities` object[]
        - `id` string, required
        - `name` string, required
        - `type` 'being' | 'place' | 'order' | 'race' | 'religion' | 'concept', required
      - `bibleParallels` object[]
        - `chunkId` string, required
        - `reference` string, required
        - `bookCode` string, required
        - `chapter` integer, required
        - `verseStart` integer, required
        - `verseEnd` integer, required
        - `text` string, required
        - `similarity` number, required
        - `rank` integer, required
        - `source` string, required
        - `embeddingModel` string, required
      - `urantiaParallels` object[]
        - `id` string, required
        - `standardReferenceId` string, required
        - `paperId` string, required
        - `paperTitle` string, required
        - `sectionTitle` string, nullable, required
        - `text` string, required
        - `similarity` number, required
        - `rank` integer, required
        - `source` string, required
        - `embeddingModel` string, required
    - `before` object[], required
      - `id` string, required
      - `standardReferenceId` string, required
      - `sortId` string, required
      - `paperId` string, required
      - `sectionId` string, nullable, required
      - `partId` string, required
      - `paperTitle` string, required
      - `sectionTitle` string, nullable, required
      - `paragraphId` string, required
      - `text` string, required
      - `htmlText` string, required
      - `language` string
      - `labels` string[], nullable, required
      - `audio` object, nullable, required
      - `entities` object[]
        - `id` string, required
        - `name` string, required
        - `type` 'being' | 'place' | 'order' | 'race' | 'religion' | 'concept', required
      - `bibleParallels` object[]
        - `chunkId` string, required
        - `reference` string, required
        - `bookCode` string, required
        - `chapter` integer, required
        - `verseStart` integer, required
        - `verseEnd` integer, required
        - `text` string, required
        - `similarity` number, required
        - `rank` integer, required
        - `source` string, required
        - `embeddingModel` string, required
      - `urantiaParallels` object[]
        - `id` string, required
        - `standardReferenceId` string, required
        - `paperId` string, required
        - `paperTitle` string, required
        - `sectionTitle` string, nullable, required
        - `text` string, required
        - `similarity` number, required
        - `rank` integer, required
        - `source` string, required
        - `embeddingModel` string, required
    - `after` object[], required
      - `id` string, required
      - `standardReferenceId` string, required
      - `sortId` string, required
      - `paperId` string, required
      - `sectionId` string, nullable, required
      - `partId` string, required
      - `paperTitle` string, required
      - `sectionTitle` string, nullable, required
      - `paragraphId` string, required
      - `text` string, required
      - `htmlText` string, required
      - `language` string
      - `labels` string[], nullable, required
      - `audio` object, nullable, required
      - `entities` object[]
        - `id` string, required
        - `name` string, required
        - `type` 'being' | 'place' | 'order' | 'race' | 'religion' | 'concept', required
      - `bibleParallels` object[]
        - `chunkId` string, required
        - `reference` string, required
        - `bookCode` string, required
        - `chapter` integer, required
        - `verseStart` integer, required
        - `verseEnd` integer, required
        - `text` string, required
        - `similarity` number, required
        - `rank` integer, required
        - `source` string, required
        - `embeddingModel` string, required
      - `urantiaParallels` object[]
        - `id` string, required
        - `standardReferenceId` string, required
        - `paperId` string, required
        - `paperTitle` string, required
        - `sectionTitle` string, nullable, required
        - `text` string, required
        - `similarity` number, required
        - `rank` integer, required
        - `source` string, required
        - `embeddingModel` string, required

## Other responses

- `400` — Invalid reference format
- `404` — Paragraph not found
- `500` — Internal server error

---

[API](https://skmtc.net/urantia/apis/urantia-papers-api.md) · [All operations](https://skmtc.net/urantia/apis/urantia-papers-api/llms.txt) · [OpenAPI document](https://skmtc-service-staging.skmtc.workers.dev/v1/apis/urantia/urantia-papers-api/versions/fc43de3e7ffc/schema)