I am trying to push a index (with embeddings) to Azure cognitive search. The following code is what pushes the index to cognitive search: #Upload some documents to the index with open('index.json', 'r') as file: documents = json.load(file) search_client =…
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 ) enter image description here At first, I…
we are using azure cognitive search as a vector database, we are generating embeddings using the azure open ai Ada02 model for the query and the document (RAG pattern). we are observing different results being produced for the same question…
I have created an azure search index with the below dataframe . Scenario 1: search_client.search('stand-up',top=3) gives me all 3 rows from the index in the results, but Scenario 2: search_client.search('What do comics do?',top=3) only gives me 1 result. (Images at…
Searching for entries in a keyword-field stored in an Azure Cognitive Search index not returning expected results when searching for them in a long text. Mutli word tokens as 'microsoft azure' are not returned as a match when looking in…
I receive the following error when adding my custom data which is a .txt file (it doesn't matter whether I add it via Azure Cognitive Search, Azure Blob Storage, or File Upload or whether the respective Congnitive Search index contains…
I have asked a simialr question before and i though i solved it but I did not. I'm using Azure Search with an index that includes the "EdgeNGramTokenFilterV2" to achieve "starts with" behavior for partial matches. However, I noticed that…
I have created a new azure cognitive search in azure which has index related to articles. I want to implement in way that if users search for any article first response it should have suggested content, like in Google if…
I have declared a synonym map in my azure search service and mapped it to one of the indices through code (link). But when I want to see what I have declared through my portal I don't seem to have…
I'm trying to use semantic search enabled azure cognitive search in my flask app (in python virtual env). When I do pip install azure.search.documents, 11.3.0 version gets installed and I get following error: TypeError: Session.request() got an unexpected keyword argument…