---
title: "Semantic similarity search across all paragraphs (GET)"
method: GET
path: "/search/semantic"
tags: ["Search"]
---

# Semantic similarity search across all paragraphs (GET)

`GET /search/semantic`

Search the Urantia Papers using semantic similarity (vector embeddings).
Returns conceptually related results even without exact keyword matches.
Optional filters: paperId, partId.

Accepts query parameters instead of a JSON body. Designed for AI agents and browser-based access.

## Query parameters

- `q` string, required
- `page` integer, nullable
- `limit` integer
- `paperId` string
- `partId` string
- `include` string

## Response `200`

Semantic search results with pagination

- object
  - `data` 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
    - `similarity` number, required
  - `meta` object, required
    - `page` integer, required
    - `limit` integer, required
    - `total` integer, required
    - `totalPages` integer, required

## Other responses

- `400` — Invalid search query
- `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)