Describe the bug:
const client = await getMilvusClient();
const params: any = {
collection_name: this.collectionName,
data: embeddingsOrText,
limit: topN,
output_fields: ['primary_key', 'metadata', 'document', 'toolkit_symbol'],
...kwargs
}
console.log('Milvus search params:', JSON.stringify({...params, data: '[embedding]'}, null, 2));
when set search data vector return
Error: Milvus search error: UnexpectedError fail to search on QueryNode 2505: worker(2505) query failed: parser searchRequest failed: => vector dimension mismatch, expected vector size(byte) 4096, actual 12758. at /root/milvus/internal/core/src/query/Plan.cpp:91
when set search data text return expected vector size(byte) 4096, actual 5
when i use axios call api, search is success, than i use version 2.5.12, search is successed
Steps to reproduce:
- use 2.6.9 sdk
- use openai function
- try search
Milvus-node-sdk version:
2.6.9