學習
Build your first RAG chatbot in 4 hours that answers from YOUR business documents—without writing a single line of code
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looking to automate repetitive customer questions without hiring support staff
seeking instant access to campaign data without waiting for analysts
interested in scaling personalized responses without sacrificing quality
Learn to feed your business documents into Flowise's RAG pipeline effortlessly
Set up context-aware systems that find exactly what's needed, when needed
Launch a functioning RAG assistant connected to your actual business data
Fine-tune chunking and retrieval for laser-precise, relevant responses
Expand from FAQ bot to enterprise knowledge system using same principles
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 an on-brand AI bot.
Instead, we're going to build AI chatbots that automate knowledge retrieval.
Got Questions? We’ve Got You Covered!
Absolutely not! Flowise is a no-code platform. If you can drag and drop, you can build RAG systems. We'll guide you through every click and connection.
ChatGPT can't access your private business data. This course teaches you to build AI that knows YOUR specific documents, policies, and knowledge—not generic internet information.
PDFs, Word docs, spreadsheets, text files, CSVs, even web pages. If it contains text, you can make it searchable through RAG.
Flowise itself is free and open-source. You may need vector storage (starting at $0/month for small datasets) and optional embedding APIs (pennies per query).
Yes! Your data stays in your control. We teach you to build systems where sensitive information never leaves your infrastructure—unlike public AI services.
Students typically have their first working RAG chatbot within 4 hours. Full implementation for business use usually takes 1-2 weeks of part-time work.
Yes! RAG systems support multiple languages. The same principles apply whether your documents are in English, Spanish, Chinese, or other languages.
Absolutely! Flowise provides APIs and webhooks to connect with Slack, websites, CRMs, and other business tools you already use.
You get lifetime access to course materials and updates. Plus, join our community where practitioners share templates, troubleshoot together, and showcase implementations.
Trying to index everything at once. We teach you strategic document selection and chunking strategies that ensure high-quality, relevant responses from day one.
Yes! You’ll earn a completion certificate to showcase your new skillset.
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