ruvector-postgres 0.2.5

[package]
name = "ruvector-postgres"
version = "0.2.5"
edition = "2021"
license = "MIT"
description = "High-performance PostgreSQL vector database extension - pgvector drop-in replacement with 53+ SQL functions, SIMD acceleration, hyperbolic embeddings, GNN layers, and self-learning capabilities"
repository = "https://github.com/ruvnet/ruvector"
homepage = "https://github.com/ruvnet/ruvector"
documentation = "https://docs.rs/ruvector-postgres"
authors = ["ruv.io Team <info@ruv.io>"]
keywords = ["postgresql", "vector-database", "embeddings", "pgvector", "hnsw"]
categories = ["database", "science", "algorithms"]
readme = "README.md"
exclude = ["docker/", "tests/", "benches/", "examples/"]

[lib]
crate-type = ["cdylib", "lib"]

[features]
default = ["pg16"]
pg14 = ["pgrx/pg14", "pgrx-tests/pg14"]
pg15 = ["pgrx/pg15", "pgrx-tests/pg15"]
pg16 = ["pgrx/pg16", "pgrx-tests/pg16"]
pg17 = ["pgrx/pg17", "pgrx-tests/pg17"]
# Note: pg18 requires pgrx 0.15.0+ (planned for future release)
pg_test = []

# SIMD features for compile-time selection
simd-native = []  # Use native CPU features (detected at build time)
simd-avx2 = []
simd-avx512 = []
simd-neon = []
simd-auto = []  # Auto-detect at runtime (default behavior)

# Index features
index-hnsw = []
index-ivfflat = []
index-all = ["index-hnsw", "index-ivfflat"]

# Quantization features
quantization-scalar = []
quantization-product = []
quantization-binary = []
quantization-all = ["quantization-scalar", "quantization-product", "quantization-binary"]
quant-all = ["quantization-all"]  # Alias for convenience

# Optional features
# Note: hybrid-search and filtered-search are planned for future releases
neon-compat = []  # Neon-specific optimizations

# Advanced AI features (opt-in)
learning = []       # Self-learning / ReasoningBank
attention = []      # 39 attention mechanisms
gnn = []            # GNN layers (GCN, GraphSAGE, GAT, GIN)
hyperbolic = []     # Hyperbolic embeddings (Poincaré, Lorentz)
sparse = []         # Sparse vectors (BM25, SPLADE)
graph = []          # Graph operations & Cypher
routing = []        # Tiny Dancer AI routing

# Feature bundles
ai-complete = ["learning", "attention", "gnn", "routing"]
graph-complete = ["hyperbolic", "sparse", "graph"]
all-features = ["ai-complete", "graph-complete"]

[dependencies]
# PostgreSQL extension framework
pgrx = "0.12"

# Pin home to avoid edition2024 issues
home = "=0.5.9"

# SIMD acceleration (leverages existing ruvector-core capabilities)
simsimd = "5.9"

# Half-precision floating point
half = { version = "2.4", features = ["std", "serde"] }

# Concurrency and synchronization
parking_lot = "0.12"
dashmap = "6.0"
crossbeam = "0.8"

# Parallel processing
rayon = "1.10"

# Serialization
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
bincode = "1.3"  # Use 1.x for Rust 1.83 compatibility
rkyv = "0.8"

# Memory management
memmap2 = "0.9"

# Random number generation (for HNSW)
rand = "0.8"
rand_chacha = "0.3"

# Bit manipulation (for binary quantization)
bitvec = "1.0"

# Ordered floats for sorting
ordered-float = "4.2"

# Heap for top-k
priority-queue = "2.0"

# Error handling
thiserror = "1.0"

# Logging
tracing = "0.1"

# Lazy static initialization
lazy_static = "1.4"
once_cell = "1.19"

# Optional: Use ruvector-core for shared implementations
# Uncomment to link with existing ruvector-core crate
# ruvector-core = { path = "../ruvector-core", optional = true }

[dev-dependencies]
pgrx-tests = "0.12"
criterion = "0.5"
proptest = "1.4"
approx = "0.5"
rand = "0.8"
tempfile = "3.10"

[[bench]]
name = "distance_bench"
harness = false

[[bench]]
name = "quantized_distance_bench"
harness = false

[[bench]]
name = "index_bench"
harness = false

[[bench]]
name = "quantization_bench"
harness = false

[[bin]]
name = "pgrx_embed_ruvector-postgres"
path = "./src/bin/pgrx_embed.rs"

[package.metadata.pgrx]
# Extension metadata for pgrx
pg14 = "pg14"
pg15 = "pg15"
pg16 = "pg16"
pg17 = "pg17"