Comments (2)
column based
[
[id_1,id_2, ....id_n],
[text_1,text_2, ...text_n],
[text_vector_1, text_vector_2, ... text_vector_n]
]
or
row based
[
{"id":id_1,
"text": text_1,
"text_vector": text_vector_1
},
...
{"id":id_n,
"text": text_n,
"text_vector": text_vector_n
},
]
your data looks like
[
[id_1,text_1,text_vector_1], ...
[id_n,text_n,text_vector_n]
]
you can change your code to
entities = [
{
"id":row['id'],
"text":row['text'],
"text_vector":list(map(float, row['text_vector'].strip('[]').split(',')))}
for index, row in data.iterrows()
]
from pymilvus.
thanks for u help!
from pymilvus.
Related Issues (20)
- [Bug]: num_partitions does not take effect HOT 3
- [Enhancement]: Support database create, list and drop operations for Milvus client
- [Bug]: The error message is not clear enough when inserting rows HOT 2
- [Bug]: create index on json field is not supported: expected=supported field HOT 6
- [QUESTION]: Bulk insert supports uploading local files directly to S3 HOT 3
- [Bug]: db_name should return when list_connections called
- [Bug]: illegal connection params or server unavailable HOT 8
- [Enhancement]: `infer_dtype_bydata` can not infer DataType.ARRAY HOT 4
- [QUESTION]: Loosen environs package requirement HOT 2
- [Bug]: TypeError: 'numpy.float64' object is not iterable
- [Bug]: TypeError("data type 'bfloat16' not understood"
- [Enhancement]: add generic type in metaclass HOT 1
- MilvusClient(**conf).search检索向量相似数据的实现逻辑 HOT 1
- [Bug]: Can't create partition in Milvus running on Docker Compose HOT 2
- [Bug]: pymilvus 2.3.5- query iterator got error: grpc_status:13, grpc_message:"Received RST_STREAM with error code 2" HOT 1
- [QUESTION]: 请问hybrid_search中如果有sparse vector的检索,支持partition key吗 HOT 4
- [Bug]: Use Furthest Neighbor Search HOT 1
- [Bug]: ParamError(message=f"`{param_name}` value {param_value} is illegal") HOT 4
- [QUESTION]: Can we have different weights for each collection while doing a similarity search?
- [Bug]: Flask debug mode and Milvus Local appear to conflict
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