I am working with weaviate ts library and azure openai.
I am using azure openai but it force me to use openai apis. I have mentioned resourcename and deploymentid in module config and headers
My client config and header:
const client = weaviate.client({
scheme: 'https',
host: 'xxxx-vv0royyl.weaviate.network',
headers: {
"X-Openai-Api-Key": "bXXxxxxxxxxxxx5b7238079",
"X-Azure-Api-Key": "bXXxxxxxxxxxxx5b7238079",
"baseURL": "https://sample.openai.azure.com",
"deploymentId": "embedding-dev",
"resourceName": "Raptor1"
}
});
My Class definition:
{
"classes": [
{
"class": "Custcity",
"invertedIndexConfig": {
"bm25": {
"b": 0.75,
"k1": 1.2
},
"cleanupIntervalSeconds": 60,
"stopwords": {
"additions": null,
"preset": "en",
"removals": null
}
},
"moduleConfig": {
"text2vec-openai": {
"X-Azure-Api-Key": "b4dXXXXXXXXXXXXXXXXXX238079",
"baseURL": "https://sample.openai.azure.com",
"deploymentId": "embedding-dev",
"model": "ada",
"resourceName": "Raptor1",
"vectorizeClassName": true
}
},
"multiTenancyConfig": {
"enabled": false
},
"properties": [
{
"dataType": [
"text"
],
"indexFilterable": true,
"indexSearchable": true,
"moduleConfig": {
"text2vec-openai": {
"skip": false,
"vectorizePropertyName": false
}
},
"name": "question",
"tokenization": "word"
},
{
"dataType": [
"text"
],
"indexFilterable": true,
"indexSearchable": true,
"moduleConfig": {
"text2vec-openai": {
"X-Azure-Api-Key": "b4dXXXXXXXXXXXXXXXXXX238079",
"baseURL": "https://sample.openai.azure.com",
"deploymentId": "embedding-dev",
"resourceName": "Raptor1",
"skip": false,
"vectorizePropertyName": false
}
},
"name": "content",
"tokenization": "word"
},
{
"dataType": [
"int"
],
"indexFilterable": true,
"indexSearchable": false,
"moduleConfig": {
"text2vec-openai": {
"skip": true,
"vectorizePropertyName": false
}
},
"name": "contentLength"
},
{
"dataType": [
"text"
],
"indexFilterable": true,
"indexSearchable": true,
"moduleConfig": {
"text2vec-openai": {
"skip": true,
"vectorizePropertyName": false
}
},
"name": "contentToken",
"tokenization": "word"
},
{
"dataType": [
"text"
],
"indexFilterable": true,
"indexSearchable": true,
"moduleConfig": {
"text2vec-openai": {
"skip": true,
"vectorizePropertyName": false
}
},
"name": "model",
"tokenization": "word"
},
{
"dataType": [
"text"
],
"indexFilterable": true,
"indexSearchable": true,
"moduleConfig": {
"text2vec-openai": {
"skip": true,
"vectorizePropertyName": false
}
},
"name": "userId",
"tokenization": "word"
},
{
"dataType": [
"text"
],
"indexFilterable": true,
"indexSearchable": true,
"moduleConfig": {
"text2vec-openai": {
"skip": true,
"vectorizePropertyName": false
}
},
"name": "trainingDataType",
"tokenization": "word"
}
],
"replicationConfig": {
"factor": 1
},
"shardingConfig": {
"virtualPerPhysical": 128,
"desiredCount": 1,
"actualCount": 1,
"desiredVirtualCount": 128,
"actualVirtualCount": 128,
"key": "_id",
"strategy": "hash",
"function": "murmur3"
},
"vectorIndexConfig": {
"skip": false,
"cleanupIntervalSeconds": 300,
"maxConnections": 64,
"efConstruction": 128,
"ef": -1,
"dynamicEfMin": 100,
"dynamicEfMax": 500,
"dynamicEfFactor": 8,
"vectorCacheMaxObjects": 1000000000000,
"flatSearchCutoff": 40000,
"distance": "cosine",
"pq": {
"enabled": false,
"bitCompression": false,
"segments": 0,
"centroids": 256,
"trainingLimit": 100000,
"encoder": {
"type": "kmeans",
"distribution": "log-normal"
}
},
"bq": {
"enabled": false
}
},
"vectorIndexType": "hnsw",
"vectorizer": "text2vec-openai"
}
]
}
I am getting error:
{
"response": {
"data": {
"Get": {
"Custcity": null
}
},
"errors": [
{
"locations": [
{
"column": 6,
"line": 1
}
],
"message": "explorer: get class: vectorize params: vectorize params: vectorize params: vectorize keywords: remote client vectorize: API Key: no api key found neither in request header: X-Openai-Api-Key nor in environment variable under OPENAI_APIKEY",
"path": [
"Get",
"Custcity"
]
}
],
"status": 200,
"headers": {}
},
"request": {
"query": "{Get{Custcity(where:{operator:Equal,valueText:\"SCHEMA\",path:[\"trainingDataType\"]},nearText:{concepts:[\"Analyze the correlation between the number of activities (tasks and events) and opportunity win rates.\"],targetVectors:[\"content\"]},limit:8){content _additional { distance }}}}"
}
}
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