[dotnet-ai] RAG pipeline

[luisquintanilla]

Fixes #233
Part of #225

Dependencies

Merge order: This PR should be merged after:

• #237 Plugin scaffold + MEAI chat integration — RAG uses IChatClient for generation
• #240 MEAI embeddings RAG uses IEmbeddingGenerator for embedding
• #242 Vector data + ingestion RAG composes ingestion and vector search

Summary

Adds the rag-pipeline skill covering end-to-end retrieval-augmented generation. This is a composition skill that orchestrates the foundation skills (chat, embeddings, vector search, ingestion) into a 6-stage pattern: Ingest Embed Store Retrieve Assemble Generate.

Changes

File	Description
plugins/dotnet-ai/skills/rag-pipeline/SKILL.md	6-stage RAG pattern, source attribution, out-of-scope handling, grounding verification
tests/dotnet-ai/rag-pipeline/eval.yaml	Eval: document Q&A RAG scenario

Key Packages

• Microsoft.Extensions.AI (chat + embeddings)
• Microsoft.Extensions.VectorData (vector search)
• Microsoft.Extensions.DataIngestion (document ingestion)

Validation

• SKILL.md has valid YAML frontmatter
• Covers all 6 RAG stages with code examples
• Source attribution and out-of-scope handling documented
• Cross-references to foundation skills are correct
• eval.yaml has at least one scenario

[ManishJayaswal]

@luisquintanilla - we want skills to be atomic to the extent possible ( see contributing.md ). Tagging @artl93 @joperezr and @jeffhandley to review and decide the course of action.

[artl93]

@ManishJayaswal - can you define what makes this not atomic? It's basically a RAG project template with validation.

[artl93]

Is this something that should be parameterized?

[artl93]

Consider whether this is strong enough as a system prompt - should it be more guarded against prompt injection?

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