Here is the reference document I follow with: https://esteininger.medium.com/building-a-vector-search-engine-using-hnsw-and-cosine-similarity-753fb5268839 & https://github.com/Azure/cognitive-search-vector-pr/blob/main/demo-python/code/azure-search-vector-python-sample.ipynb
from azure.search.documents.models import Vector
from azure.search.documents.indexes.models import (
SearchIndex,
SearchField,
SearchFieldDataType,
SimpleField,
SearchableField,
SearchIndex,
SemanticConfiguration,
PrioritizedFields,
SemanticField,
SearchField,
SemanticSettings,
VectorSearch,
HnswVectorSearchAlgorithmConfiguration
)
At first, I faced import error which is about import Vector. I saw its solution on stackoverflow by updating azure.search.documents to the version ==11.4.0b6; While HnswVectorSearchAlgorithmConfiguration would be alwasy error no matter which version I used. I've tried azure.search.documents 11.4.0b6 and 11.4.0b4
If the import error remain unsolved, the folling part would be error too.
vector_search = VectorSearch(
algorithm_configurations=[
HnswVectorSearchAlgorithmConfiguration(
name="my-vector-config",
kind="hnsw",
parameters={
"m": 4,
"efConstruction": 400,
"efSearch": 500,
"metric": "cosine"
}
)
]
)
I also tried to walkaround by import hnswlib
, but it didn't work...
enter image description here
If someone has conquer this issue, please let me know. Thank you!
Using Azure Cognitive Search’s Vector feature you don’t have to install hnswlib separately.
Can you ensure you’re using the latest azure-search-documents pip package?
Try pip install azure-search-documents --pre --upgrade
.
The latest Python SDK pre-release version that includes Vector search capabilities can be found here: https://pypi.org/project/azure-search-documents/11.4.0b8/