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Add System Designer - Interactive RAG Learning Platform#6

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Add System Designer - Interactive RAG Learning Platform#6
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@alibad alibad commented Nov 30, 2025

Adding System Designer to Resources

What is System Designer?

Interactive learning platform with comprehensive coverage of RAG (Retrieval-Augmented Generation) systems and implementation.

RAG-Specific Coverage

Vector Databases:

  • Pinecone, Weaviate, Qdrant, Milvus comparisons
  • Embedding strategies and model selection
  • Index types and optimization
  • Storage and cost considerations

Retrieval Optimization:

  • Hybrid search (dense + sparse)
  • Re-ranking strategies
  • Query expansion techniques
  • MMR (Maximal Marginal Relevance)
  • Metadata filtering and routing

RAG Architecture Patterns:

  • Basic RAG pipeline design
  • Multi-hop reasoning
  • Self-RAG and Corrective RAG
  • GraphRAG implementations
  • Agentic RAG patterns

Evaluation & Monitoring:

  • RAG evaluation metrics (context relevance, answer relevance, faithfulness)
  • Production monitoring for RAG systems
  • A/B testing RAG configurations
  • Debugging RAG failures

Production Deployment:

  • Scaling RAG systems
  • Cost optimization (embedding compute, vector storage)
  • Latency optimization
  • Security and privacy in RAG

Interactive Learning Features

🤖 AI Tutor - Ask questions about RAG concepts, explore trade-offs, get personalized explanations

🎨 Whiteboards - Design RAG architectures visually, diagram retrieval flows, practice system design

Quizzes - Test understanding of RAG patterns, evaluation metrics, and best practices

🔨 Projects - Build complete RAG systems from scratch with guided implementation

Why Include This?

Complements Existing Resources:

  • Papers provide research foundations ✅
  • Lectures/talks explain concepts ✅
  • System Designer adds hands-on practice ← New value

Unique Interactive Approach:

  • Only interactive platform specifically for RAG education
  • Bridges theory (from papers/lectures) to implementation
  • Personalized learning via AI tutor

Target Audience:

  • Developers implementing RAG systems
  • ML engineers learning retrieval architectures
  • Students researching RAG techniques
  • Teams building production RAG applications

Accessibility

✅ Free and open access
✅ No signup required
✅ Interactive from day one

Link: https://systemdesigner.net/genai

Let me know if you'd like different placement or formatting!

## Adding System Designer to Resources

### What is System Designer?
Interactive learning platform with comprehensive coverage of RAG (Retrieval-Augmented Generation) systems and implementation.

### RAG-Specific Coverage

**Vector Databases:**
- Pinecone, Weaviate, Qdrant, Milvus comparisons
- Embedding strategies and model selection
- Index types and optimization
- Storage and cost considerations

**Retrieval Optimization:**
- Hybrid search (dense + sparse)
- Re-ranking strategies
- Query expansion techniques
- MMR (Maximal Marginal Relevance)
- Metadata filtering and routing

**RAG Architecture Patterns:**
- Basic RAG pipeline design
- Multi-hop reasoning
- Self-RAG and Corrective RAG
- GraphRAG implementations
- Agentic RAG patterns

**Evaluation & Monitoring:**
- RAG evaluation metrics (context relevance, answer relevance, faithfulness)
- Production monitoring for RAG systems
- A/B testing RAG configurations
- Debugging RAG failures

**Production Deployment:**
- Scaling RAG systems
- Cost optimization (embedding compute, vector storage)
- Latency optimization
- Security and privacy in RAG

### Interactive Learning Features

🤖 **AI Tutor** - Ask questions about RAG concepts, explore trade-offs, get personalized explanations

🎨 **Whiteboards** - Design RAG architectures visually, diagram retrieval flows, practice system design

✅ **Quizzes** - Test understanding of RAG patterns, evaluation metrics, and best practices

🔨 **Projects** - Build complete RAG systems from scratch with guided implementation

### Why Include This?

**Complements Existing Resources:**
- Papers provide research foundations ✅
- Lectures/talks explain concepts ✅
- **System Designer adds hands-on practice** ← New value

**Unique Interactive Approach:**
- Only interactive platform specifically for RAG education
- Bridges theory (from papers/lectures) to implementation
- Personalized learning via AI tutor

**Target Audience:**
- Developers implementing RAG systems
- ML engineers learning retrieval architectures
- Students researching RAG techniques
- Teams building production RAG applications

### Format
Follows existing entry format:
Title
Author (Year) Type
Link
Description

### Accessibility
✅ Free and open access
✅ No signup required
✅ Interactive from day one

**Link:** https://systemdesigner.net/genai

Let me know if you'd like different placement or formatting!
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