---
title: "Get similar feedback records"
method: GET
path: "/v1/feedback-records/{id}/similar"
tags: ["Feedback Records"]
---

# Get similar feedback records

`GET /v1/feedback-records/{id}/similar`

Returns feedback record IDs and similarity scores for records similar to the given one (by embedding).
**Only available when embeddings are configured** (EMBEDDING_PROVIDER and EMBEDDING_MODEL set).
Supported providers: openai, google (Gemini Developer API / Google AI Studio), google-gemini (Gemini Enterprise Agent Platform API).
When embeddings are disabled, this endpoint returns 503 Service Unavailable.
Hub derives the tenant from the source feedback record and scopes the nearest-neighbor search to that tenant.

## Path parameters

- `id` string, uuid, required

## Query parameters

- `limit` integer
- `cursor` string
- `min_score` number, float

## Response `200`

OK

- SemanticSearchResponse
  - `data` SemanticSearchResultItem[], required — List of feedback record IDs with similarity scores (0 = unrelated, 1 = identical). Consistent with list endpoints.
    - `feedback_record_id` string, uuid, required — Feedback record UUID
    - `score` number, double, required — Similarity score (0..1)
    - `field_label` string, required — Label of the feedback field (included in embedding for context). May be empty if the source record had no label.
    - `value_text` string, required — value_text of the feedback record (the text that was embedded). May be empty if the source had no text; embeddings are only created for records with non-empty value_text, but the field can be cleared after embedding creation.
  - `limit` integer, required — Limit used in query (echoed for consistency with list endpoints)
  - `next_cursor` string — Opaque cursor for the next page (keyset paging). Present only when there may be more results (full page returned). Omit when no next page. Use this exact value as the cursor query param for the next page.

## Other responses

- `400` — Bad Request (e.g. invalid cursor)
- `404` — Not Found (feedback record has no embedding for the current model, or source record has no tenant)
- `503` — Service Unavailable (embeddings are not configured)
- `default` — Error

## Changes

- **2026-06-26** `17c77a1a3031` — 4 warning
  - added the new `content_too_large` enum value to the `code` response property for the response status `400`
  - added the new `content_too_large` enum value to the `code` response property for the response status `404`
  - added the new `content_too_large` enum value to the `code` response property for the response status `503`
  - added the new `content_too_large` enum value to the `code` response property for the response status `default`
- **2026-06-16** `d2fa5d9f2e98` — 4 warning
  - added the new `tenant_write_conflict` enum value to the `code` response property for the response status `400`
  - added the new `tenant_write_conflict` enum value to the `code` response property for the response status `404`
  - added the new `tenant_write_conflict` enum value to the `code` response property for the response status `503`
  - added the new `tenant_write_conflict` enum value to the `code` response property for the response status `default`
- **2026-06-08** `db17603a9e28` — 1 warning
  - deleted the `query` request parameter `tenant_id`
- …earlier changes not shown

[Full history](https://skmtc.dev/formbricks/apis/formbricks-hub-api/changes/v1/feedback-records/:id/similar/get.md)

---

[API](https://skmtc.dev/formbricks/apis/formbricks-hub-api.md) · [All operations](https://skmtc.dev/formbricks/apis/formbricks-hub-api/llms.txt) · [OpenAPI document](https://skmtc-service-production.skmtc.workers.dev/v1/apis/formbricks/formbricks-hub-api/revisions/84bba639c72b/schema)