Add AI Features to Your Existing Product -A Practical Integration Guide

LLM Hallucinations or inappropriate content generation.

Use strict system prompts, lower the 'temperature' parameter for categorization, and implement a basic moderation layer if necessary.

Vectorizing the entire existing database might hit API rate limits or incur high initial costs.

Batch the embedding requests, implement exponential backoff, and test the pipeline on a small subset of data first to estimate costs.

Runaway costs from unoptimized API calls in production.

Set hard usage limits/billing alerts in your OpenAI/Anthropic dashboard and cache frequent identical requests in your backend.