Open lvjg opened 1 month ago
res = self._collection.hybrid_search( [dense_req, sparse_req], rerank=ranker, limit=query.hybrid_top_k, output_fields=output_fields, group_by_field=group_by_field )
在hybrid_search中也没有使用expr这个参数
https://milvus.io/docs/multi-vector-search.md @lvjg Please refer to this doc. The params of your hybrid_search AIP seems wrong, we need a list of AnnSearchRequest
/assign @lvjg
https://milvus.io/docs/multi-vector-search.md @lvjg Please refer to this doc. The params of your hybrid_search AIP seems wrong, we need a list of
AnnSearchRequest
sparse_emb = self.sparse_embedding_function.encode_queries(
[query.query_str]
)[0]
sparse_search_params = {
"metric_type": "IP",
"params": {
"radius": 0.1,
"range_filter": 1.0
}
}
sparse_top_k = query.sparse_top_k or 20
sparse_req = AnnSearchRequest(
[sparse_emb],
self.sparse_embedding_field,
sparse_search_params,
limit=sparse_top_k,
)
dense_emb = query.query_embedding
dense_req = AnnSearchRequest(
[dense_emb],
self.embedding_field,
dense_search_params,
limit=similarity_top_k,
)
使用的是一组AnnSearchRequest
Is there an existing issue for this?
What is your question?
请求异常,返回内容如下: pymilvus.exceptions.MilvusException: <MilvusException: (code=1100, message=Invalid expr: id in ['2e65e219-48d8-44b2-8c8b-a528076b5c54', ...]: invalid parameter)>
Anything else?
No response