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POST
/
api
/
v1
/
search
/
graphrag
/
stores
Typescript (SDK)
import { SDK } from "@meetkai/mka1";

const sdk = new SDK({
  bearerAuth: "<YOUR_BEARER_TOKEN_HERE>",
});

async function run() {
  const result = await sdk.search.graphrag.createGraphRAGStore({
    xApiKeyId: "<id>",
    xUserId: "<id>",
    xExchangeJwtExternalUserId: "<id>",
    createGraphRAGStoreRequest: {
      storeName: "vendor_network",
      embeddingModel: "meetkai:qwen3-embedding-8b",
      extractionModel: "openai:gpt-4.1-mini",
    },
  });

  console.log(result);
}

run();
{
  "message": "GraphRAG store created successfully",
  "store_name": "vendor_network"
}

Authorizations

Authorization
string
header
required

Gateway auth: send Authorization: Bearer <mka1-api-key>. For multi-user server-side integrations, you can also send X-On-Behalf-Of: <external-user-id>.

Headers

x-api-key-id
string
required
x-user-id
string
required
x-exchange-jwt-external-user-id
string
required

Body

application/json
store_name
string
required

GraphRAG store name

Minimum string length: 1
embedding_model
string
required

Embedding model ID

Minimum string length: 1
extraction_model
string
required

LLM model ID used for entity and relation extraction

Minimum string length: 1
chunk_size
integer
default:800

Maximum chunk size in characters

Required range: 100 <= x <= 10000
chunk_overlap
integer
default:120

Chunk overlap in characters

Required range: 0 <= x <= 5000
max_hops
integer
default:2

Maximum graph expansion depth during graph-mode queries

Required range: 1 <= x <= 4

Response

Successful Response

store_name
string
required
message
string
required