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PAID COURSE

RAG Fundamentals with Flowise: From Data to Production-Ready AI Assistant

Turn Your Documents Into an AI Assistant That Answers Back

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Flowise
RAG Fundamentals with Flowise: From Data to Production-Ready AI Assistant
DIFFICULTY Intermediate
DURATION 4 modules
ACCESS Paid
RATING 4.9 / 5 ★

Course Overview

AI Agent & ChatbotAI AutomationAI Productivity ai-first-data-analyst-trackai-first-productivity-accelerator-track next-ai-agent-track-0d267

Your team wastes hours digging through PDFs, FAQs, and spreadsheets just to answer one question?

Here's the truth: You don't need developers or coding skills to fix this. This two-part course teaches you to build a complete RAG (Retrieval-Augmented Generation) system in Flowise that reads YOUR documents—PDFs, Word files, CSVs, even websites—and answers questions with pinpoint accuracy grounded in your actual business data, not generic internet information.

WHAT YOU WILL LEARN
Master RAG fundamentals and build a working AI knowledge assistant in Flowise—from document ingestion to production deployment—without writing a single line of code
  • Transform raw business documents into properly chunked, AI-ready knowledge segments ready for vectorization.
  • Build semantic search that finds answers by meaning—not keywords—with zero duplicate data and sustainable storage costs.
  • Launch a production-grade assistant that answers real queries with source attribution, conversation memory, and edge-case handling.

Who Is This Course For?

Business owners
Tired of answering the same customer questions manually every day.
Customer support managers
Wanting to automate 60–80% of repetitive inquiries instantly.
Course creators & consultants
Needing an AI that answers students from course FAQs and policies.

What to Expect

01
Convert Documents to Knowledge Base
Convert any document collection into an AI-searchable knowledge base using Flowise Document Store, loaders, and splitters.
02
Build Semantic Search
Build semantic search that understands user intent using embeddings and Pinecone vector database—not just keyword matching.
03
Assemble Production RAG Chatflow
Assemble a complete RAG chatflow connecting Tool Agent, LLM, Retriever, and Memory into one production system.

Curriculum

4 modules • Lifetime Access

ALL MODULES INCLUDED
4 modules of action-packed content
  • Transform raw business documents into properly chunked, AI-ready knowledge segments ready for vectorization.
  • Build semantic search that finds answers by meaning—not keywords—with zero duplicate data and sustainable storage costs.
  • Launch a production-grade assistant that answers real queries with source attribution, conversation memory, and edge-case handling.

Total value 1000 HKD

You Pay = Only

498 HKD

Plus…you will be getting…

Certificate of Completion

Ready to Master AI?

One Time Payment

498 HKD

Value: 1000 HKD

  • Video Course, all notes, and whole deal
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All Time Access

398 HKD /mo
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