feat: add random graph generation and improve metadata vectorization
Introduced `generateRandomGraph` method to create randomized graphs with configurable entity counts and types, supporting automated testing and experimentation. Enhanced metadata vectorization logic to handle various metadata formats reliably, ensuring compatibility and fallback mechanisms during embedding. Updated `README.md` with detailed feature descriptions and usage guides.
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"@tensorflow/tfjs-layers": "^4.22.0",
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"ascii-tree": "^0.3.0",
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"commander": "^14.0.0",
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"omelette": "^0.4.17",
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"uuid": "^9.0.0"
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"bin": {
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"brainy": "dist/cli.js"
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"node_modules/@tensorflow/tfjs-core": {
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"@tensorflow/tfjs-core": "4.22.0"
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"node_modules/@tensorflow/tfjs/node_modules/@tensorflow/tfjs-converter": {
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"version": "4.22.0",
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"license": "Apache-2.0",
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"peerDependencies": {
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"node": ">=8"
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}
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"node_modules/ascii-tree": {
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"license": "MIT",
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"dependencies": {
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"freetree": "0.2.2"
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"node_modules/async": {
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"version": "3.2.6",
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"resolved": "https://registry.npmjs.org/async/-/async-3.2.6.tgz",
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"node": ">= 6"
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"node_modules/freetree": {
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