Module advanced 

Advanced techniques: hypergraphs, learned indexes, neural hashing, TDA (Phase 6)

Advanced Techniques

This module contains experimental and advanced features for next-generation vector search:

• Hypergraphs: n-ary relationships beyond pairwise similarity
• Learned Indexes: Neural network-based index structures
• Neural Hashing: Similarity-preserving binary projections
• Topological Data Analysis: Embedding quality assessment

Re-exports

pub use hypergraph::CausalMemory;

pub use hypergraph::Hyperedge;

pub use hypergraph::HypergraphIndex;

pub use hypergraph::TemporalHyperedge;

pub use learned_index::HybridIndex;

pub use learned_index::LearnedIndex;

pub use learned_index::RecursiveModelIndex;

pub use neural_hash::DeepHashEmbedding;

pub use neural_hash::NeuralHash;

pub use tda::EmbeddingQuality;

pub use tda::TopologicalAnalyzer;

Modules

hypergraph

Hypergraph Support for N-ary Relationships

learned_index

Learned Index Structures

neural_hash

Neural Hash Functions

tda

Topological Data Analysis (TDA)