# Reindex

Invoke Reindex

## Reindexing the entities of given type

> Triggers a full reindexing process for the selected entity type. The process retrieves all entities of the given type, generates embeddings for each of them, and updates the corresponding records in the Vector Database.

```json
{"openapi":"3.0.0","info":{"title":"AI Rag Indexer","version":"0.0.1"},"tags":[{"name":"Reindex","description":"Invoke Reindex"}],"servers":[{"url":"https://api.emporix.io"}],"security":[{"OAuth2":["ai.agent_manage"]}],"components":{"securitySchemes":{"OAuth2":{"type":"oauth2","flows":{"clientCredentials":{"scopes":{"ai.text_manage":"Needed to execute actions related to the text generation.","ai.completion_manage":"Needed to execute actions related to the AI completions.","ai.agent_read":"Needed to read AI agents.","ai.agent_manage":"Needed to manage AI agents."},"tokenUrl":"https://api.emporix.io/oauth/token"}}}},"responses":{"400_resp_common":{"description":"The request was syntactically incorrect.","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorMessage"}}}},"401_resp_common":{"description":"The authorization token is invalid or has expired.","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorMessageFault"}}}},"403_resp_common":{"description":"Authorization scopes of the access token are not sufficient and do not match the scopes required by the endpoint.","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorMessage"}}}}},"schemas":{"ErrorMessage":{"type":"object","properties":{"code":{"type":"integer"},"type":{"type":"string"},"message":{"type":"string"},"moreInfo":{"type":"string"},"details":{"type":"array","items":{"type":"object","properties":{"field":{"type":"string"},"type":{"type":"string"},"message":{"type":"string"},"moreInfo":{"type":"string"}}}}},"description":""},"ErrorMessageFault":{"type":"object","properties":{"fault":{"type":"object","properties":{"faultstring":{"type":"string"},"detail":{"type":"object","properties":{"errorcode":{"type":"string"}}}}}}}}},"paths":{"/ai-rag-indexer/{tenant}/{type}/reindex":{"post":{"summary":"Reindexing the entities of given type","operationId":"GET-ai-rag-indexer-reindex","responses":{"204":{"description":"No Content"},"400":{"$ref":"#/components/responses/400_resp_common"},"401":{"$ref":"#/components/responses/401_resp_common"},"403":{"$ref":"#/components/responses/403_resp_common"}},"description":"Triggers a full reindexing process for the selected entity type. The process retrieves all entities of the given type, generates embeddings for each of them, and updates the corresponding records in the Vector Database.","tags":["Reindex"]}}}}
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://developer.emporix.io/api-references-1/readme/api-reference-1/reindex.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.