v0.5.0 — Context Graph + Living Context Engine

What's New in v0.5.0

Typed weighted edges — Edge struct {target_id, rel_type, weight} replaces flat links list
Reverse index — get_incoming(id) for instant reverse-edge lookups, rebuilt on load
db.link(from_id, to_id, rel_type, weight) — create typed directed edges between records
db.auto_link(modality, threshold, rel_type) — automatically link similar vectors by cosine threshold
9 built-in relationship types via RelType: related_to, caused_by, supports, part_of, derived_from, contradicts, precedes, references, multimodal_of

db.context_chain(query, k, hops, modality) — vector search + n-hop BFS graph expansion in one call, returns ContextChainResult with scored nodes and traversed edges
Adaptive decay — stickiness = 1 + log(1 + recall_count) makes frequently accessed records resist temporal decay

visualize(db, output_path) — exports a fully self-contained D3 force-graph HTML (no CDN, works offline)
export_graph_json(namespace_filter, entity_filter) — D3/Cytoscape-compatible JSON export
Dangling edge safety — edges referencing excluded nodes are automatically filtered

feather_inspector.py — local HTTP inspector with force graph view, PCA embedding scatter, similarity search, edit and delete

db.get_vector(id, modality) — retrieve raw vector as NumPy array
db.get_all_ids(modality) — list all IDs in a modality index
db.update_metadata(id, meta) — update metadata without touching the HNSW index
db.update_importance(id, importance) — adjust importance score in-place

Bumped to v5 — adds typed edges with rel_type + weight; v3/v4 files load transparently

pip install feather-db
cargo install feather-db-cli