Advanced RAG: LongRAG, Self-RAG and GraphRAG Explained
- ▸ The Evolution Beyond Basic RAG
- ▸ LongRAG: Conquering Extended Context
- ↳ Architecture Overview
- ↳ Implementation Strategy
- ↳ Use Cases and Performance
- ▸ Self-RAG: Reflective Retrieval
- ↳ Core Principles
- ↳ Architecture Components
- ↳ Training the Reflection Mechanisms
- ↳ Production Considerations
- ▸ GraphRAG: Knowledge Graph-Enhanced Retrieval
- ↳ Conceptual Foundation
- ↳ Graph Construction Pipeline
- ↳ Query Processing with Graphs
- ↳ Microsoft's GraphRAG Implementation
- ▸ Comparative Analysis
- ↳ When to Use Each Variant
- ↳ Performance Metrics Comparison
- ↳ Hybrid Approaches
- ▸ Implementation Considerations
- ↳ Embedding Models
- ↳ Chunking Strategies Revisited
- ↳ Reranking Integration
- ↳ Scaling to Production
- ▸ Real-World Applications
- ↳ Technical Documentation Search
- ↳ Legal Discovery
- ↳ Research Literature Review
- ▸ Advanced Topics
- ↳ Multi-Modal RAG
- ↳ Adaptive RAG
- ↳ Privacy-Preserving RAG
- ▸ Getting Started
- ↳ Quick Start with Python
- ↳ Framework Selection
- ↳ Evaluation Framework
- ▸ Conclusion
- ▸ Useful links
- ▸ External References
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