Month: November 2024

Vector databases are essential for RAG (Retrieval Augmented Generation). Here’s a complete setup with Pinecone: npm install @pinecone-database/pinecone openai import { Pinecone } from ‘@pinecone-database/pinecone’; import OpenAI from ‘openai’; const pinecone = new Pinecone({ apiKey: process.env.PINECONE_API_KEY }); const openai = new OpenAI(); const index = pinecone.Index(‘documents’); // Generate embeddings async function embed(text) { const response…

Function calling lets LLMs interact with your APIs. Here’s a production pattern: const tools = [{ type: ‘function’, function: { name: ‘get_weather’, description: ‘Get current weather for a location’, parameters: { type: ‘object’, properties: { location: { type: ‘string’, description: ‘City name’ }, unit: { type: ‘string’, enum: [‘celsius’, ‘fahrenheit’] } }, required: [‘location’] }…