embedmind-core 0.1.0

[package]
name = "embedmind-core"
description = "Embedded memory engine for AI agents: single crash-safe file, vector + full-text + graph"
version.workspace = true
edition.workspace = true
license.workspace = true
authors.workspace = true
rust-version.workspace = true
repository.workspace = true
homepage.workspace = true
readme = "README.md"
keywords = ["embeddings", "vector", "memory", "database", "ai"]
categories = ["database-implementations", "science", "data-structures"]
build = "build.rs"

# The 22 MB int8 ONNX weights are NOT shipped in the published source package:
# they would push it past the crates.io 10 MiB ceiling (docs/RELEASING.md).
# `build.rs` re-fetches (and checksum-verifies) them from the pinned Hugging
# Face export when building from the published crate; a dev/CI checkout still
# has the file in-tree and skips the download. The final binary embeds the
# model exactly as before (ADR 0004) — behavior is unchanged. Everything else
# under assets/ (tokenizer, vocab — well under 1 MB) stays embedded in-crate.
exclude = ["assets/all-MiniLM-L6-v2/onnx/model_quantized.onnx"]

[dependencies]
thiserror = { workspace = true }
xxhash-rust = { workspace = true }
ulid = { workspace = true }
ort = { workspace = true }
tokenizers = { workspace = true }

[dev-dependencies]
proptest = "1"

[lints]
workspace = true