.Net: VectorStore: Create Talk RAG Demo

[westey-m]

As a user I can run a sample which shows how to perform RAG against a PDF document (SK learn document).

• See citations for any answers provided
• I can click on citation links and be brought to the page in the PDF
• I can ask questions in different languages
• I can ask questions where the answers come from Images in the PDF
• I can ask questions where the answers come from Tables in the PDF

As a developer I can modify a sample to use a different Vector Database with minimal lines of change and then run the sample against multiple PDF documents.

• Use N Microsoft Learn site documents
• Consider running with a local model

[sorin-costea]

@westey-m I don't see any commit or version referred here so I must ask: is this about the VectorStoreRAG example?

Maybe I'm missing something obvious, but I would imagine an agent doing this, while that example is doing the data loading and also the search by hand. Are there any components who would 1. create the embeddings in some store at startup, and 2. augment an agent with that? Or I must assemble the functionality by hand like in the VectorStoreRAG example?