import { SDK } from "@meetkai/mka1";
const sdk = new SDK({
bearerAuth: "<YOUR_BEARER_TOKEN_HERE>",
});
async function run() {
const result = await sdk.search.tables.createIndices({
tableName: "<value>",
createIndicesRequest: {
indices: [
{
field: "embedding",
config: {
type: "IVF_FLAT",
distanceType: "cosine",
numPartitions: 128,
maxIterations: 50,
sampleRate: 256,
reindexAfter: 3600,
},
},
],
},
});
console.log(result);
}
run();{
"indices_created": [
{
"config": {
"distance_type": "cosine",
"num_partitions": 128,
"type": "IVF_FLAT"
},
"field": "embedding",
"index_type": "IVF_FLAT"
}
],
"message": "Successfully created 1 indices"
}Create indices on the specified table.
import { SDK } from "@meetkai/mka1";
const sdk = new SDK({
bearerAuth: "<YOUR_BEARER_TOKEN_HERE>",
});
async function run() {
const result = await sdk.search.tables.createIndices({
tableName: "<value>",
createIndicesRequest: {
indices: [
{
field: "embedding",
config: {
type: "IVF_FLAT",
distanceType: "cosine",
numPartitions: 128,
maxIterations: 50,
sampleRate: 256,
reindexAfter: 3600,
},
},
],
},
});
console.log(result);
}
run();{
"indices_created": [
{
"config": {
"distance_type": "cosine",
"num_partitions": 128,
"type": "IVF_FLAT"
},
"field": "embedding",
"index_type": "IVF_FLAT"
}
],
"message": "Successfully created 1 indices"
}Authenticate with your MKA1 API key at the API gateway: Authorization: Bearer <mka1-api-key>. For multi-user server-side integrations, also send X-On-Behalf-Of to identify the end user making the request.
Optional external user identifier for multi-user server-side integrations. Use this when acting on behalf of one of your end users.
Show child attributes
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