Create embed

Parse, chunk, and embed one uploaded file under its file_id into the unified Search+Vector index, scoped to the authenticated owner.

POST /v1/ai/rag/embed

AI → · All API references → · Get started →

Address	`https://api.hanzo.ai/v1/ai/rag/embed`
Method	`POST`
Operation	`post_ai_rag_embed`
Auth	`Authorization: Bearer $HANZO_API_KEY`

Parse, chunk, and embed one uploaded file under its file_id into the unified Search+Vector index, scoped to the authenticated owner. Provide inline content or a url to fetch+parse (PDF/CSV/XLSX/PPTX/…). Re-embedding the same file_id replaces its chunks. Consolidates the retired chat-rag-api POST /embed and /local/embed.

Request

The document declares no body for POST /v1/ai/rag/embed. The handler is typed in cloud but its shape is not yet emitted, so the fields are not listed here — ask MCP's describe for post_ai_rag_embed, which answers from the running route.

Response

Status	Body	Meaning
`200`		Success.
`401`	—	No credential, or one this service does not accept.
`403`	—	A valid credential that may not do this.

200 body — 9 fields.

Field	In	Type	Always	Description
`data`	body	any	—	The operation's own result.
`data2`	body	any	—	A second result the operation defines, when it has one.
`msg`	body	string	yes	Empty on success, the reason on failure.
`status`	body	string	yes	One of `ok`, `error`.
`data.chunks`	body	integer	—
`data.file_id`	body	string	—
`data.filename`	body	string	—
`data.index_name`	body	string	—
`data.store`	body	string	—

Failure carries the platform error shape — see Errors.

Examples

CLI

SDK

HTTP

MCP

hanzo ai rag embed

.ts

.py

.go

.rs

.java

import { Configuration, AiApi } from 'hanzoai';

const api = new AiApi(new Configuration({ accessToken: process.env.HANZO_API_KEY }));
const { data } = await api.postAiRagEmbed();

from hanzoai.cloud import ApiClient, Configuration
from hanzoai.cloud.api import AiApi

client = ApiClient(Configuration(access_token=os.environ["HANZO_API_KEY"]))
result = AiApi(client).post_ai_rag_embed()

cfg := hanzoai.NewConfiguration()
cfg.AddDefaultHeader("Authorization", "Bearer "+os.Getenv("HANZO_API_KEY"))
client := hanzoai.NewAPIClient(cfg)

resp, _, err := client.AiAPI.PostAiRagEmbed(context.Background()).Execute()
if err != nil {
	return err
}

use hanzo_client::apis::{configuration::Configuration, ai_api};

let mut cfg = Configuration::new();
cfg.bearer_access_token = std::env::var("HANZO_API_KEY").ok();

let result = ai_api::post_ai_rag_embed(&cfg, Default::default()).await?;

import ai.hanzo.cloud.ApiClient;
import ai.hanzo.cloud.api.AiApi;

ApiClient client = new ApiClient();
client.setBearerToken(System.getenv("HANZO_API_KEY"));

var result = new AiApi(client).postAiRagEmbed();

curl -X POST https://api.hanzo.ai/v1/ai/rag/embed \
  -H "Authorization: Bearer $HANZO_API_KEY"

MCP declares no tool for ai — tools/list on https://api.hanzo.ai/v1/mcp names the products it does reach. Use HTTP or an SDK.

AI API · All Hanzo APIs · Interactive reference

Was this page useful?

PreviousDelete rag NextCreate ingest