azure-search-vector-samples
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A repository of code samples for Vector search capabilities in Azure AI Search.
I was able to setup and run the Azure Open AI Text Embedding function, I also used the Ingestion sample to be able to create indexes, indexers, custom skillsets and...
I am able to insert vector to my search index. However, when trying to do vector search or hybrid search. I am facing this error: `SerializationError: (', DeserializationError: (", AttributeError:...
Hi, As part of this project, did anyone compare how the vector search performs in comparison to normal keyword search+symantic option in Azure Cognitive Search? Especially in following areas. 1....
Having a problem trying to get the preview to work with Semantic Kernel. The SK CognitiveSearch connector requires Azure.Search.Documents version 11.5.0-beta.2, but to use the Vector stuff in search I...
I'm trying to run the dotnet sample and getting the following error. dotnet restore --interactive is not showing any prompt for authentication Unable to find package OpenAI.Api. No packages exist...
Hello, following the quick start vector search, everything is fine until the search on the contentVector field. From the UI in Azure Portal, I see that contentVector field is OK....
When I add a highlight parameter to the Single Vector Search query described [here](https://github.com/Azure/cognitive-search-vector-pr/blob/main/docs/vector-search-quickstart.md#single-vector-search), the following error is returned. I understand that in principle the highlight function cannot be used...
Hi team, I am wondering how search scores and rankings are calculated for hybrid searches. I did a search with keyword search(top=10) and vector search(vector.k=10) and got the following ranking....
I am a .NET guy and wanted to know the Azure.Search.Documents package version to install. 11.5.0-beta.2 package doesn't seem to have the classes/objects required for the vector implementation. My company...
503 Failed to execute query because not enough resources were available to cover 100% of the index
Hello, I'm getting the error message in the title, on some of my requests (but not all of them) and haven't been able to find resources on what it means...