Yesterday, I wrote about How OLLama Builds a Knowledge Base for Q&A Using Existing Documents? OLLama + LangChain to Assist You. There was a streamlit related to the graphical interface for the OLLama knowledge base Q&A that I didn’t write about because the code didn’t run, so today I will supplement that part. Finally, there … Read more
After using Cursor, Agentic AI has adopted a “you say, I do” model, which has become my primary way of using AI. This change has further inspired me to think: Is it possible to use Cursor or similar editors as a universal entry point for interacting with AI? This idea is based on two main … Read more
In this tutorial, we will delve into how to build an intelligent Q&A system with conditional branching using the langgraph framework. We will analyze the code step by step, understand the functionality of each part, and explain the principles behind it. The ultimate goal is to enable you to create an AI assistant that can … Read more
In this tutorial, we will learn how to build an intelligent document retrieval system using langgraph. This system can extract information from web pages, perform intelligent segmentation, and achieve precise Q&A functionality through query analysis and vector retrieval. 1. Install Dependencies <span>pip install beautifulsoup4</span> 2. Import Necessary Libraries import bs4 from typing import Literal from … Read more
Video Channel: Huang Yi He YouTube / Medium: huangyihe The following is the text version of the video content I recently saw a very powerful statement: A shell product with 100,000 users is more meaningful than having a proprietary model without any users. If you have friends who are investing in large models or working … Read more