import { SemanticVector } from './types.js';
export class SemanticProcessor {
private dimensions: number;
constructor(dimensions: number = 384) {
this.dimensions = dimensions;
}
async embedText(text: string): Promise<SemanticVector> {
// Mock embedding generation
const vector = new Array(this.dimensions).fill(0)
.map(() => (Math.random() - 0.5) * 2);
const magnitude = Math.sqrt(
vector.reduce((sum, val) => sum + val * val, 0)
);
return {
vector,
magnitude
};
}
calculateSimilarity(vec1: SemanticVector, vec2: SemanticVector): number {
if (vec1.vector.length !== vec2.vector.length) {
throw new Error('Vector dimensions do not match');
}
const dotProduct = vec1.vector.reduce(
(sum, v1, i) => sum + v1 * vec2.vector[i],
0
);
return dotProduct / (vec1.magnitude * vec2.magnitude);
}
}