Is it possible to index CSV file name without extension + literal string + CSV field value in Azure AI search?
I have CSV files on Azure Blob Storage which contain a field Type
(among other fields). I use indexer parsing mode delimitedText
to split them into documents – one per row. The AI enrichment tree for such a document should contain the node /document/Type
.
Azure Cognitive Search boost boolean field
I’m looking to boost results where a boolean field is true. I have a scoring profile set up for my string values which works great. However, I’ve not found a way to boost if the boolean field has a true value in the scoring profile or outside of the scoring profile. I’ve tried adding it in the search parameter like so:
How to connect to a private datasource with Azure AI Search?
My end goal is to be able to automate this creation through terraform, however, first I need to be able to do this through the portal to understand what is happening.
How to connect to a private datasource with Azure AI Search?
My end goal is to be able to automate this creation through terraform, however, first I need to be able to do this through the portal to understand what is happening.
Azure Function Trigger Not Processing Images in PDFs Correctly
I’m encountering an issue with my Azure Function trigger, which processes files uploaded to Azure Blob Storage and indexes them into Azure Cognitive Search. The function works perfectly for most file types (e.g., standalone images, DOCX, CSV), but it fails to correctly process images embedded within PDFs.
How do I store vectors generated by AzureOpenAIEmbeddingSkill in indexer given my current setup
This is a follow up question to: Error in Azure Cognitive Search Service when storing document page associated to each chunk extracted from PDF in a custom WebApiSkill
Custom analyzer for nested property on search service showing error in Azure
The search index and everything works fine.
However, on the Azure Portal, the following error is displayed when we open the search index: