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a9ae1a6778
Matrix Protocol: - docker-compose.matrix.yml: Dendrite homeserver + PostgreSQL + Nginx TLS - src/channels/plugins/matrix-channel.ts: OpenClaw plugin implementation - docs/matrix-triad-setup.md: Setup guide with auth scheme (@tm1-4:triad.local) MCP Server Integration: - docs/mcp-triad-integration.md: SearXNG, Playwright, GitHub MCP configs - docs/mcp-curiosity-mapping.md: Gap-to-capability mapping Node Sync Architecture: - src/services/node-sync-service.ts: WebSocket peer sync + presence detection - src/services/node-sync-service.test.ts: Unit tests - docs/node-sync-architecture.md: Architecture docs Triad Resilience: - scripts/triad-corruption-check.mjs: SQLite + log + config + git integrity - docs/triad-resilience.md: Recovery procedures - .secure/deployment-logs/README.md: Schema v2 - skills/triad-heartbeat/SKILL.md: Corruption check integration NPM Publish Workflow: - scripts/npm-publish.mjs: version, changelog, validate, publish, rollback - .github/workflows/npm-publish.yml: GitHub Actions with provenance - docs/npm-publish-guide.md: Complete documentation All deliverables tested in Docker before production.
39 lines
1002 B
JavaScript
Executable File
39 lines
1002 B
JavaScript
Executable File
import { DatabaseSync } from "node:sqlite";
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import { load, getLoadablePath } from "sqlite-vec";
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function vec(values) {
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return Buffer.from(new Float32Array(values).buffer);
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}
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const db = new DatabaseSync(":memory:", { allowExtension: true });
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try {
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load(db);
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} catch (err) {
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const message = err instanceof Error ? err.message : String(err);
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console.error("sqlite-vec load failed:");
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console.error(message);
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console.error("expected extension path:", getLoadablePath());
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process.exit(1);
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}
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db.exec(`
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CREATE VIRTUAL TABLE v USING vec0(
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id TEXT PRIMARY KEY,
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embedding FLOAT[4]
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);
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`);
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const insert = db.prepare("INSERT INTO v (id, embedding) VALUES (?, ?)");
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insert.run("a", vec([1, 0, 0, 0]));
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insert.run("b", vec([0, 1, 0, 0]));
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insert.run("c", vec([0.2, 0.2, 0, 0]));
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const query = vec([1, 0, 0, 0]);
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const rows = db
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.prepare("SELECT id, vec_distance_cosine(embedding, ?) AS dist FROM v ORDER BY dist ASC")
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.all(query);
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console.log("sqlite-vec ok");
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console.log(rows);
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