Property of an Azure AI Search skillset that uses projections to save enriched output into Azure Storage tables and blobs, so it can be analysed outside the search index.
Also called knowledgeStore.
Read more: Microsoft Learn
In the Ultra Transcenders books
Each book explains Knowledge store in context, with comparison tables and the common traps.
Terms in this definition
- property
In VCF Operations, an attribute describing how an object is configured, such as its vCPU count. Unlike a metric, it captures state rather than performance over time, and it can feed symptom definitions, views, dashboards and reports.
- Azure AI Search
Managed Azure service that builds indexes over your content and answers keyword, vector, hybrid and semantically ranked queries, optionally with AI enrichment. Retrieval-augmented generation, Foundry agents and knowledge mining all use it to fetch relevant content.
- AI enrichment
Indexing-time process in Azure AI Search where skills such as OCR, key phrase extraction, entity recognition and image analysis turn raw content into fields that can be searched.
- Azure Storage
You reach this Azure data storage platform through a storage account; it covers blobs (Data Lake Storage included), file shares, queues and tables.
- Index
Speeds up queries that filter on certain columns by keeping those columns sorted, with pointers back to each row; the price is more storage and slower writes.
Related terms
- File projection
Writes only normalised images (/document/normalized_images/*), as binary files, from the enrichment into a Blob container in the knowledge store.
- Genie Agent
Lets business users ask about Unity Catalog data in everyday language within AI/BI. Each reply runs with the questioner's own permissions; authors shape its behaviour by supplying datasets, instructions, a knowledge store and example SQL.
- Object projection
Projection in a knowledge store that writes each complete enriched JSON document to a Blob container (configured with
storageContainerandsource), typically for data science use. - Projection group
A single entry in a knowledge store's projections array that groups related table, object and file projections. Several projections within one entry still count as just one group.
- Shaper skill
Takes enrichment nodes that already exist and builds them into one complex object; this utility skill commonly feeds table projections in a knowledge store.
- Skillset
Azure AI Search object, reusable across indexers, that defines which built-in or custom skills run during enrichment, optionally with knowledge store projections and a resource for billing.
- Table projection
A knowledge store projection that writes rows to Azure Table Storage, linked through generated keys (source, generatedKeyName, tableName). It works well for analysis in Power BI.