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Introduction
1. Core Statistical Retrieval Methods
2. Traditional Lexical and Pattern-Based Methods
3. Link Analysis and Graph-Based Methods
4. Dimensionality Reduction Methods
5. Machine Learning-Based Ranking
6. Neural and Embedding-Based Retrieval
7. Hybrid and Fusion Techniques
8. Similarity Metrics and Distance Functions
9. Advanced Neural Architectures
10. Query Optimization Techniques
11. Cross-Modal and Multi-Modal Retrieval
12. Document Enhancement Methods
13. Multi-Hop and Iterative Retrieval
14. Specialized and Graph-Based Retrieval
15. Context Enhancement Techniques
References
Core Retrieval and Ranking Methods
Semantic and Hybrid Search
Traditional Lexical Methods
Link Analysis and Web Retrieval
Dense and Neural Retrieval
Late Interaction and Advanced Models
Reranking and Two-Stage Retrieval
Fusion and Ranking Methods
Metadata Filtering
Similarity Metrics
Set-Based Similarity
Multi-Modal and Vision-Language Retrieval
Vector Indexing and Compression
Query Optimization and Transformation
Hypothetical Document Embeddings
Multi-Query and Decomposition
Self-Querying and Metadata Extraction
Graph-Based Retrieval
Structured Data Retrieval
Enterprise Search Engines
Entity Linking and Knowledge Graphs
Context Enhancement
Wildcard, Regex, and Pattern Matching
Phrase and Fielded Search
Prefix Search and Tries
N-gram Retrieval
Phonetic Matching
Fielded and Structured Search
Latent Semantic Indexing
Locality-Sensitive Hashing
Learning to Rank
Cross-Modal Retrieval
Collaborative Filtering
Document Expansion
Iterative and Multi-Hop Retrieval