學習
Deploy working AI assistant in 3 hours that answers 80% of repetitive inquiries — without writing a single line of code
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needing instant, accurate content answers for students
seeking 50% reduction in repetitive query handling
unifying scattered documentation into intelligent response systems
Configure your Flowise document store to ingest PDFs, websites, and databases seamlessly
Connect retrievers, embeddings, LLMs, and memory components using visual drag-and-drop workflows
Implement conversation memory and record managers for coherent, context-aware responses
Launch your tested RAG assistant with proper chunking strategies and retrieval optimization
In prev. venture, he helped MNC, Fortune 500, listed companies in HK & US and many regional fundraised startups on growth, lead generation, digital marketing, PR, content marketing etc.
He took various roles in marketing & startup related organizations before Curator of Facebook Community Leadership Circles: HKLead of Marketing Tech Sub-com, Cyberport Alumni HK Chapter Lead of Tech in Asia & CMX HubPresident, CUHK Alumni Entrepreneur AssociationHe published marketing & startup related articles on HuffingtonPost, Tech in Asia, e27, HK01, Economic Digest, StartupBeat, PressLogic, INSIDE etc.
This is NOT going to be a "ONE-SIZE-FITS-ALL" Approach
like every other course out there teaching how to build AI bots.
Instead, we're going to provide production-ready Flowise templates specifically engineered for business knowledge automation
Got Questions? We’ve Got You Covered!
Absolutely not! Flowise is a visual no-code platform. If you can drag and drop icons, you can build production RAG systems. Every technical concept is explained in plain language.
Most students deploy their first functional RAG assistant within 3 hours. By the end of the weekend, you'll have a production-ready system handling real queries.
RAG (Retrieval-Augmented Generation) lets AI access YOUR specific documents to answer questions accurately. Instead of generic AI responses, you get precise answers from your knowledge base.
Custom RAG development typically costs $5,000-$15,000. Support staff answering repetitive questions costs $3,000+/month. You'll build the same solution for free in one weekend.
PDFs, Word docs, websites, CSVs, databases — virtually any text-based knowledge source. We show you how to connect multiple sources into one intelligent system.
It handles 60-80% of repetitive queries automatically, freeing your team for complex, high-value interactions. Think augmentation, not replacement.
We teach specific techniques to minimize hallucination: proper chunking strategies, retrieval verification, and source attribution. Your assistant only answers from YOUR documents.
ChatGPT doesn't know YOUR business. RAG systems retrieve exact information from your documents, providing accurate, specific answers about your products, policies, and procedures.
Flowise can run locally for free. Cloud deployment costs $20-50/month. LLM API costs depend on usage but typically under $30/month for small teams.
You get lifetime access to course materials, future updates, and our step-by-step implementation guide. The bonus walkthrough ensures you never get stuck.
Absolutely! Once you understand the framework, you can build specialized assistants for sales, support, training, documentation — any knowledge domain you manage.
Yes! You’ll earn a completion certificate to showcase your new skillset.
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