dosubot[bot]
commented
8 months ago š¤
Hey @Farid-Ullah! Great to see you diving into the depths of LangChain and AzureSearch again. Hope this puzzle turns out to be more fun than frustrating! š
Based on the issues you've encountered and the context provided, it seems like you're facing a couple of problems related to the VectorSearch class and the vector_search_configuration parameter.
The NameError for VectorSearch is likely due to the fact that the VectorSearch class is only imported if TYPE_CHECKING is True. This is a common pattern used to avoid circular imports in Python, but it means that the VectorSearch class is not actually available at runtime. To fix this issue, you need to move the import statement for VectorSearch outside of the if TYPE_CHECKING: block. Here's how you can do it:
from azure.search.documents.indexes.models import VectorSearch
if TYPE_CHECKING:
from azure.search.documents import SearchClient
from azure.search.documents.indexes.models import (
CorsOptions,
ScoringProfile,
SearchField,
SemanticConfiguration,
)This way, VectorSearch will be imported regardless of whether type checking is being performed or not, and the NameError should no longer occur.
Regarding the InvalidRequestParameter error, it seems like there was a change in the Azure SDK where the vector_search_configuration parameter was renamed to vector_search_profile_name. You should update your code to use vector_search_profile_name="myHnswProfile" instead of vector_search_configuration to specify the algorithm to use when searching the vector field.
These solutions were suggested in the following issues and pull requests:
- regressions with AzureSearch vectorstore update to v11.4.0
- community: add fixes for AzureSearch after update to stable azure-search-documents library
- community[patch]: add fixes for AzureSearch after update to stable azure-search-documents library (#17599)
Please try these solutions and let us know if you encounter any further issues.
Sources
- regressions with AzureSearch vectorstore update to v11.4.0
- azure.search.documents.indexes.models._edm no attribute "Single" under Langchain.AzureSearch()
- Error running vector search in Azure Cognitive Search - The 'value' property of the vector query can't be null or an empty array.
- libs/community/langchain_community/vectorstores/azuresearch.py
- libs/langchain/langchain/vectorstores/azuresearch.py
Farid-Ullah
Checked other resources
Example Code
python ...
Error Message and Stack Trace (if applicable)
Error:
Description
My env spec: i have used latested version of langchain and azure's SDK everything is working but when i try to create index it give me this error
System Info
`System Information
Package Information
Packages not installed (Not Necessarily a Problem)
The following packages were not found:
pip freeze output:
aiohttp==3.9.3 aiosignal==1.3.1 annotated-types==0.6.0 antlr4-python3-runtime==4.9.3 anyio==4.3.0 async-timeout==4.0.3 attrs==23.2.0 azure-common==1.1.28 azure-core==1.30.0 azure-identity==1.15.0 azure-search-documents==11.4.0 azure-storage-blob==12.19.0 backoff==2.2.1 beautifulsoup4==4.12.3 certifi==2024.2.2 cffi==1.16.0 chardet==5.2.0 charset-normalizer==3.3.2 click==8.1.7 coloredlogs==15.0.1 contourpy==1.2.0 cryptography==42.0.3 cycler==0.12.1 dataclasses-json==0.6.4 dataclasses-json-speakeasy==0.5.11 Deprecated==1.2.14 distro==1.9.0 effdet==0.4.1 emoji==2.10.1 exceptiongroup==1.2.0 fastapi==0.109.2 filelock==3.13.1 filetype==1.2.0 flatbuffers==23.5.26 fonttools==4.49.0 frozenlist==1.4.1 fsspec==2024.2.0 greenlet==3.0.3 h11==0.14.0 httpcore==1.0.3 httpx==0.26.0 huggingface-hub==0.20.3 humanfriendly==10.0 idna==3.6 iopath==0.1.10 isodate==0.6.1 Jinja2==3.1.3 joblib==1.3.2 jsonpatch==1.33 jsonpath-python==1.0.6 jsonpointer==2.4 kiwisolver==1.4.5 langchain==0.1.7 langchain-community==0.0.20 langchain-core==0.1.23 langchain-openai==0.0.6 langdetect==1.0.9 langsmith==0.0.87 layoutparser==0.3.4 lxml==5.1.0 MarkupSafe==2.1.5 marshmallow==3.20.2 matplotlib==3.8.3 mpmath==1.3.0 msal==1.26.0 msal-extensions==1.1.0 multidict==6.0.5 mypy-extensions==1.0.0 networkx==3.2.1 nltk==3.8.1 numpy==1.26.4 nvidia-cublas-cu12==12.1.3.1 nvidia-cuda-cupti-cu12==12.1.105 nvidia-cuda-nvrtc-cu12==12.1.105 nvidia-cuda-runtime-cu12==12.1.105 nvidia-cudnn-cu12==8.9.2.26 nvidia-cufft-cu12==11.0.2.54 nvidia-curand-cu12==10.3.2.106 nvidia-cusolver-cu12==11.4.5.107 nvidia-cusparse-cu12==12.1.0.106 nvidia-nccl-cu12==2.19.3 nvidia-nvjitlink-cu12==12.3.101 nvidia-nvtx-cu12==12.1.105 omegaconf==2.3.0 onnx==1.15.0 onnxruntime==1.15.1 openai==1.12.0 opencv-python==4.9.0.80 packaging==23.2 pandas==2.2.0 pdf2image==1.17.0 pdfminer.six==20221105 pdfplumber==0.10.4 pikepdf==8.13.0 pillow==10.2.0 pillow_heif==0.15.0 portalocker==2.8.2 protobuf==4.25.3 pycocotools==2.0.7 pycparser==2.21 pydantic==2.6.1 pydantic_core==2.16.2 PyJWT==2.8.0 pyparsing==3.1.1 pypdf==4.0.2 pypdfium2==4.27.0 pytesseract==0.3.10 python-dateutil==2.8.2 python-docx==1.1.0 python-dotenv==1.0.1 python-iso639==2024.2.7 python-magic==0.4.27 python-multipart==0.0.9 pytz==2024.1 PyYAML==6.0.1 rapidfuzz==3.6.1 regex==2023.12.25 requests==2.31.0 safetensors==0.4.2 scipy==1.12.0 six==1.16.0 sniffio==1.3.0 soupsieve==2.5 SQLAlchemy==2.0.27 starlette==0.36.3 sympy==1.12 tabulate==0.9.0 tenacity==8.2.3 tiktoken==0.6.0 timm==0.9.12 tokenizers==0.15.2 torch==2.2.0 torchvision==0.17.0 tqdm==4.66.2 transformers==4.37.2 triton==2.2.0 typing-inspect==0.9.0 typing_extensions==4.9.0 tzdata==2024.1 unstructured==0.12.4 unstructured-client==0.18.0 unstructured-inference==0.7.23 unstructured.pytesseract==0.3.12 urllib3==2.2.1 uvicorn==0.27.1 wrapt==1.16.0 yarl==1.9.4