Articles tagged “knowledge-base”
10 articles
1M-Token Context or RAG? How to Pick for Your CX Agent
Gemini's 1M-token window is real but not free. A practical decision framework for choosing between long-context and RAG for customer experience agents, with cost numbers, code, and the hybrid pattern most production teams land on.
The Shopping Assistant That Outsells Your Best Sales Rep
How a $50M fashion retailer turned 15,000 SKUs and customer purchase history into an AI shopping assistant that outsells human sales reps.
The Insurance Agent That Never Misquotes a Policy
How regional insurers deploy AI agents that answer policy questions accurately, intake claims end-to-end, and produce the audit trail regulators demand.
The Auto Shop That Knows Your Car Better Than You Do
Build an AI phone agent for auto repair shops that answers calls, quotes brake jobs, remembers every vehicle, and sends maintenance reminders.
A Dental Receptionist That Works Nights and Weekends
Build an AI receptionist for dental clinics that answers insurance questions, books appointments, and captures after-hours leads. Five clients pay $1,500/month.
The HVAC Company That Never Misses a Call
Build an AI receptionist that answers HVAC calls 24/7, triages emergencies, and books appointments. Then sell it as a service for $400-500/mo per client.
Build a Restaurant AI That Remembers Every Regular
Build an AI phone agent for a local restaurant that takes orders, answers menu questions, and remembers regulars. A developer side hustle worth $400/month per client.
The RAG You Built Last Year Is Already Outdated
RAG has branched into 5 distinct architectures: Self-RAG, Corrective RAG, Adaptive RAG, GraphRAG, and Agentic RAG. Here's when to use each and how to choose.
Your RAG Returns Wrong Answers. Upgrading the Model Won't Help
Most RAG quality problems are retrieval problems, not model problems. Bad chunking, wrong embeddings, and missing re-ranking cause more hallucinations than model capability gaps.
From Keyword Search to Shopping Memory
Build the intelligence layer for an AI shopping assistant: semantic product search with Commerce MCP, customer memory that persists across visits, and MCP tool registration for multi-channel deployment.
The Signal Briefing
Un email por semana. Cómo los equipos líderes de CS, ingresos e IA están convirtiendo conversaciones en decisiones. Benchmarks, playbooks y lo que funciona en producción.
