hypersteeldb 0.2.4

A database that compiles questions instead of guessing answers: typed vocabulary discovered from your documents, queries type-checked before they run, roaring-bitmap set algebra over reified hyperedges, and Dempster-Shafer evidence with an explicit conflict guard.
Documentation
# Rust
/target
**/*.rs.bk

# Tauri app
app/node_modules
app/dist
app/src-tauri/target
app/src-tauri/gen

# DuckDB reference clone (not part of this repo)
/duckdb

# OS / editor
.DS_Store
*.log

# Models are SHIPPED in-repo so SteelDB works fully offline out of the box (tagger, SPLADE, model2vec,
# gazetteer, OCR, CLIPSeg, and the tuned default LoRA). These are large binaries — tracked via git-lfs
# (see .gitattributes). Nothing under models/ is ignored. Only scratch training checkpoints are excluded:
train/adapters/
train/*.pt
# runtime index caches written next to a corpus
.steeldb-index
# user LLM-provider config (may contain API keys)
/steeldb.json
~/.steeldb/

# Per-corpus growing-gazetteer overlay (learned entities, local to each scanned dir)
.steeldb-gazetteer.json
# Native inference: quantized model cache (built on first run, not committed)
models/steeldb-qwen3-*.gguf

# Public demo corpus — deterministically regenerable via `gen_pokemon_corpus`
/pokemon_corpus
/benchmark_corpus

# HuggingFace access token — a credential, never commit
hf.token
*.token

# Python (demo Spaces)
__pycache__/
*.pyc
# assembled Space bundles (regenerable via spaces/assemble.sh)
/target/spaces

# Registry / signing credentials
*.key
*.pem

# the stress harness builds against the published crate
stress/target/
stress/Cargo.lock