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Overview
Table 1: Query Transformation Techniques
Table 2: Hybrid and Multi-Method Retrieval
Table 3: Hierarchical and Graph-Based Retrieval
Table 4: Self-Corrective and Adaptive RAG Systems
Table 5: Reranking and Relevance Optimization
Table 6: Context Optimization and Chunking Strategies
Table 7: Token-Level and Advanced Embedding Techniques
Table 8: Routing and Metadata-Based Techniques
Table 9: Specialized and Emerging Techniques
Table 10: Vector Search Optimization
References
Query Transformation & Optimization
Hybrid & Multi-Method Retrieval
Hierarchical & Graph-Based RAG
Self-Corrective & Adaptive RAG
Agentic & Adaptive Approaches
Active & Forward-Looking Retrieval
Memory & Knowledge Integration
Token-Level & Late Interaction Techniques
Late Chunking
Prompt Compression & Optimization
Speculative & Parallel Processing
Multi-Hop Reasoning & Query Decomposition
Contextual & Semantic Techniques
Temporal & Time-Aware RAG
Embedding Fine-Tuning & Domain Adaptation
Modular & Programmable RAG
Multimodal RAG
Vector Search & ANN Optimization
General RAG Resources & Surveys
Cross-Encoders & Reranking