Module 8: AI Knowledge Bases, RAG Retrieval & Prompt Guardrails

Lessons

• Turning scattered FAQs into a usable chatbot knowledge basetextOpen
• From Rigid Trees to Generative RAG: The Evolution of Intelligent Marketing BotstextLocked
• Writing answer frameworks that sound clear, not robotictextOpen
• Curating Brand Knowledge: Chunking, Cleaning, and Structuring Vector EmbeddingstextLocked
• Deciding what the bot may answer automatically and what it must escalatetextOpen
• System Prompt Engineering for Conversational Marketers: Persona, Boundaries, and TonetextLocked
• Grounding product, pricing, and policy answers in approved source materialtextOpen
• Negative Prompting and Hallucination Shields: Ensuring Zero Invented Product ClaimstextLocked
• Keeping answers concise while still resolving the questiontextOpen
• Retrieval Accuracy & Semantic Re-ranking: Connecting Hybrid Keyword and Vector SearchtextLocked
• Detecting hallucination risk in commercial chatbotstextOpen
• Module 8 Mid-Term Knowledge Check: RAG Architectures & Prompt SecurityquizLocked
• Reviewing transcripts to improve retrieval and response qualitytextOpen
• Adversarial Prompt Injection Defense: Neutralizing Jailbreak Attempts in Public ChatstextLocked
• Building update routines when offers or policies changetextOpen
• Confidence Thresholding: Knowing When to Say 'I Don't Know' and Transfer to HumantextLocked
• Evaluating LLM Response Quality: Setting Up Automated RAG Triad BenchmarkstextLocked
• Module 8 Final Capstone: Building a Production-Grade Brand Knowledge EnginequizLocked