RAG

2 posts

Building a RAG Chatbot in 45 Minutes: A No-Code Guide

・ Technology #RAG #AI #No-Code

Learn how to build a RAG chatbot without any programming in just 45 minutes. Perfect for learning or creating solutions for an AI product manager portfolio.

Building a RAG Chatbot in 45 Minutes: A No-Code Guide I built a RAG (Retrieval-Augmented Generation) chatbot in just 45 minutes—without writing a single line of code. This is an excellent way to learn or create a solution for an AI product manager portfolio. But how does it actually work? First, RAG isn’t just about vector storage. It can retrieve information from various data sources like Google Drive, SQL databases, or plain text files.

Just Plugging in an AI Like DeepSeek Isn’t Enough

・ Technology #Feishu #Lark #DeepSeek #RAG #AI

Most companies fail at AI adoption because they treat it as a standalone tool. Feishu’s new Knowledge Q&A feature shows what seamless, workflow-native AI looks like.

The Hard Truth About AI in the Workplace Slapping a chatbot into your company Slack isn’t “AI adoption.” Too many businesses make these mistakes: AI becomes just another tab employees forget to open. Models improve, but answers stay generic — no deep alignment with actual work. Information chaos persists because AI isn’t wired into daily workflows. The root issue? AI is often bolted on, not built in. Feishu’s Fix: AI That Works Where You Work Enter Feishu (Lark) Knowledge Q&A, launched today.