rag-pipeline-dotnet
CommunityBuild compliant RAG pipelines in .NET
Authormichaelalber
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables the creation of robust, secure, and compliant Retrieval-Augmented Generation (RAG) pipelines within .NET applications, specifically addressing the needs of enterprise and federal environments.
Core Features & Use Cases
- End-to-End RAG Implementation: Guides the setup, ingestion, indexing, retrieval, and generation phases of a RAG pipeline using Microsoft Semantic Kernel.
- Federal Compliance: Incorporates critical considerations for data classification, FedRAMP, NIST AI RMF, and air-gapped deployments.
- Use Case: Develop a secure Q&A system for internal company policies that can be deployed in a government-mandated air-gapped environment, ensuring all data handling adheres to strict compliance standards.
Quick Start
Configure the Semantic Kernel with Azure OpenAI for chat completion and text embedding, then ingest a document into the 'policies' collection.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: rag-pipeline-dotnet Download link: https://github.com/michaelalber/ai-toolkit/archive/main.zip#rag-pipeline-dotnet Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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