Build a RAG Chatbot Live — No Code, A Working Assistant in 10 Minutes | Master AI & ML Ep 25

We covered prompting in Ep 23 and RAG architecture in Ep 24. Now we build the real thing — live, no code, from an empty folder to a working chatbot that answers questions and cites its sources.

What we build:
→ Upload a real document folder as the knowledge base
→ Watch chunking and embedding happen (the invisible RAG mechanics, made visible)
→ Write an effective system prompt — role, tone, and critical boundary instructions
→ Test with 3 real questions — see source citations on every answer
→ Deliberately test the failure case — what happens when you ask something NOT in the docs
→ Deploy and get a shareable link + embeddable widget

Also covered:
→ Hallucination guardrails — why "never make up information" is the most important line in the prompt
→ From demo to production — document maintenance, monitoring, and data sensitivity considerations
→ Realistic timeline expectations for a real deployment

This is Episode 25 of Master AI & Machine Learning — Module 5: Building with AI, Episode 3 of 7.

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📋 FULL COURSE PLAYLIST → www.sereisofthoughts.com
⬅ Ep 24 — RAG vs. Fine-Tuning
➡ Ep 26 — Integrating AI Into Existing Systems
🌐 TechnovativeAI → www.technovativeai.com

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⏱ TIMESTAMPS
00:00 — Hook: the payoff episode
00:30 — The build stack: 3 pieces, no code
01:15 — Step 1 & 2: upload + watch processing happen
03:00 — Step 3: configuring the system prompt
05:00 — Step 4: testing with real questions
07:00 — Step 5: the deliberate failure test
08:45 — Step 6: deploy, share & production considerations
10:30 — Next episode & CTA

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Series of Thoughts · Presented by TechnovativeAI

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