FREE COURSE · MODULE 3 · LESSON 3.3 🧠AI BRAIN + RAG
WhatsApp AI Agent Mastery

AI Brain + Knowledge Base

Build Layers 3 + 4 of the 5-layer stack. Wire Claude (or GPT) into the webhook from Lesson 3.2. Embed your documents. Run RAG over YOUR data. The echo dies — intelligence is in. Under $50 to set up, under 30¢ per real customer chat.

5Hands-on steps
~30 minActive setup time
< $50Total to start

The 5 Steps You'll Execute

Each step has concrete outputs. By the end: customer texts in → Claude reads YOUR data → answers with YOUR facts → reply lands on the phone.

1

Choose Your Brain

Claude Sonnet 4.6 — default for African business ($3/M input tokens; better French and Swahili; longer context). GPT-4o — faster on simple queries, strict JSON ($2.50/M input). Test both on 5 real customer messages, then pick one for production. Don't bounce between models.

2

Plug the LLM Into Your Webhook

Inside your Lesson 3.2 webhook handler, replace the echo with a real LLM call. Anthropic SDK: messages.create(system, user_msg) → AI text. 6 lines. POST that text back through Meta's /messages endpoint. Customer's phone buzzes — but this answer was generated, not echoed.

3

Build the Knowledge Base

The agent is only as smart as what it knows about YOUR business. 1) Collect FAQs, product specs, pricing, policies, hours. 2) Chunk into 500-token pieces. 3) Embed with text-embedding-3-small or Voyage AI (1 vector per chunk). 4) Store in Pinecone, Supabase pgvector, or Chroma. ~$0.20 one-time to embed a 1,000-page FAQ.

4

RAG: Retrieve · Augment · Generate

The pattern that makes the brain actually useful. Customer asks 'delivery to Bujumbura?'. RETRIEVE: embed question → search vector DB → pull top 3 chunks. AUGMENT: inject those chunks into the system prompt as context. GENERATE: Claude reads the chunks and answers with YOUR exact pricing. No hallucination. No generic web answer.

5

Test with Real Customer Questions

Send the agent 3 things it cannot answer without your data: 'What time do you close on Saturday?', 'How much is delivery to Gitega?', 'What's your return policy after 30 days?'. Compare: Lesson 3.2 echo vs Lesson 3.3 brain. If answers use YOUR facts — Layers 3 + 4 are shipped.

Total cost — brain + knowledge base
< $50 setup · < 30¢/chat
Claude Sonnet 4.6: $3/M tokens (~1-3¢ per chat) · Embeddings: $0.20 one-time · Vector DB free tier (10k chunks).

Want this stack built for your business in 30 days?

Top AI Africa deploys the full 5-layer stack for African businesses. WhatsApp Cloud API + webhook, Claude wired in, Knowledge Base built on your real product data, monitoring dashboard. Free 15-min strategy call to see if your business is a fit.