Compress vectors using row displacement
Semantic retrieval and search operations for VSA-based vector representations
Kernel interop and system integration for Embeddenator
Vector Symbolic Architecture operations for sparse ternary representations
Sparse vector index for learned sparse retrieval (SPLADE, LADE)
Convert SQL query results to JSON without struct mapping, supporting MySQL/PostgreSQL/SQLite/Odbc
Hierarchical bitmap tree. Integer-key map that can intersect FAST.
Traits to unify all vectors!
Sparse ternary VSA implementation for holographic data encoding
Sparse ternary VSA implementation for holographic data encoding - umbrella crate re-exporting all embeddenator components
EmbrFS: FUSE filesystem backed by holographic engrams
High-performance PostgreSQL vector database extension v2 - pgvector drop-in replacement with 230+ SQL functions, SIMD acceleration, Flash Attention, GNN layers, hybrid search, multi-tenancy, self-healing, and self-learning capabilities