⚡ Live Sandbox: AI Dev Tool: Show HN How random

📝 Editable Code Sandbox

```typescript
// AI Dev Tool: LLM Vector Search API
// Description: A TypeScript API for building and querying a vector search index using PostgreSQL and an LLM from scratch.

import { FastifyInstance, FastifyRequest, FastifyReply } from 'fastify';
import { PydanticModel } from 'pydantic';
import { Pool } from 'pg';
import * as tf from '@tensorflow/tfjs';
import { LLM } from './llm';

// Define the vector search model
class VectorSearchModel extends PydanticModel {
  query: string;
  top_k: number;
}

// Define the LLM model
const llm = new LLM();

// Define the PostgreSQL connection pool
const pool = new Pool({
  user: 'postgres',
  host: 'localhost',
  database: 'vector_search',
  password: 'password',
  port: 5432,
});

// Define the FastAPI app
const app: FastifyInstance = require('fastify')();

// Define the vector search endpoint
app.post('/vector_search', async (request: FastifyRequest, reply: FastifyReply) => {
  try {
    const model = new VectorSearchModel(request.body);
    const queryEmbedding

🖥️ Interactive Execution Terminal Console

⚡ Ready! Click ▶️ Run Code to execute code in browser terminal...