mirror of
https://github.com/samvallad33/vestige.git
synced 2026-04-25 00:36:22 +02:00
495a88331f
Four internal optimizations for dramatically better performance: 1. F16 vector quantization (ScalarKind::F16 in USearch) — 2x storage savings 2. Matryoshka 256-dim truncation (768→256) — 3x embedding storage savings 3. Convex Combination fusion (0.3 keyword / 0.7 semantic) replacing RRF 4. Cross-encoder reranker (Jina Reranker v1 Turbo via fastembed TextRerank) Combined: 6x vector storage reduction, ~20% better retrieval quality. Cross-encoder loads in background — server starts instantly. Old 768-dim embeddings auto-migrated on load. 614 tests pass, zero warnings.
32 lines
612 B
JSON
32 lines
612 B
JSON
{
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"name": "@vestige/init",
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"version": "1.6.0",
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"description": "Give your AI a brain in 10 seconds — zero-config Vestige installer",
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"bin": {
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"vestige-init": "bin/init.js"
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},
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"keywords": [
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"vestige",
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"mcp",
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"ai",
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"memory",
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"claude",
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"copilot",
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"cursor",
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"xcode",
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"jetbrains",
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"windsurf",
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"init",
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"installer"
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],
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"author": "Sam Valladares",
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"license": "MIT",
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"repository": {
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"type": "git",
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"url": "git+https://github.com/samvallad33/vestige.git",
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"directory": "packages/vestige-init"
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},
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"engines": {
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"node": ">=18"
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}
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}
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