AI hands-on tutorials

This article will guide readers on how to easily upgrade Dify. Before you begin, make sure you have the following two tools installed: Dify Local Deployment: This is the foundation of the upgrade operation. Cursor: an AI programming tool that dramatically improves development efficiency. Optional Tools: Silicon Flow: An API aggregation platform that facilitates the use of Dify...

OpenManus has been updated frequently recently. In addition to support for local Ollama and web API providers, support for domestic search engines and several WebUI adaptations have been added. In this article, we will introduce several community-contributed OpenManus WebUIs, and how to configure domestic search engines. OpenMan...

Background Based on the Wenshin Intelligent Body Platform, the book recommendation assistant developed with the latest DeepSeek model is able to recommend intelligent products based on the user's conversation content, realize accurate conversion and transaction realization, and build a closed-loop business. This tutorial will deeply analyze the development practice of DeepSeek book recommendation assistant, and help ...

Want to build an application that provides personalized game recommendations? This tutorial will guide you step-by-step through building a customized game recommendation system using Retrieval Augmented Generation (RAG) techniques in combination with DeepSeek and Ollama models. We'll be using the games.... in the Epic Games store dataset

For ease of differentiation, knowledge bases outside of the Dify platform are collectively referred to as "external knowledge bases" in this article. Introduction Dify's built-in knowledge base functionality and text retrieval mechanisms may not meet the needs of some advanced developers, who may need more precise control over text recall results. Some teams choose to build their own...

Recently, Dify released v1.0.1, which fixes some problems in the previous version. According to user feedback, many users are interested in the effect of Dify integrating RAGFlow. In this article, we will introduce the specific steps for Dify to integrate RAGFlow knowledge base, and evaluate the actual effect of the integration....

Recently, Anthropic has released Claude 3.7 Sonnet, an update to the Claude 3.5 Sonnet model.Although only 0.2 has been added to the version number, this update brings a number of changes in both performance and functionality. It has been more than four months since Claude's last model update in...

It's been a while since bolt.new joined forces with Anima to introduce a cracking feature that generates a working full-stack application by simply copying the Figma design URL. On the bolt.new homepage, click "Import from Figma": Next, paste the Figma framework URL into the text field...

Introduction This document details how to build a localized RAG (Retrieval Augmented Generation) application using DeepSeek R1 and Ollama. It also complements the use of LangChain to build localized RAG applications. We will demonstrate the complete implementation flow with examples, including document processing, vector storage...

Introduction ReAct (Reasoning and Acting) is a framework that combines reasoning and action to enhance the performance of intelligences in complex tasks. The framework enables intelligences to accomplish tasks more effectively in dynamic environments by tightly integrating logical reasoning with practical action. Source : ReAct: ...

Introduction This document will detail how to use the LlamaIndex framework to build a local RAG (Retrieval-Augmented Generation) application. By integrating LlamaIndex, it is possible to build a RAG system in a local environment that combines the capabilities of Retrieval and Generation to improve the efficiency of information retrieval...

Dify supports access to large-scale language model inference and embedding capabilities deployed by Ollama. Quick Access Download Ollama Access Ollama installation and configuration, view Ollama local deployment tutorials. Run Ollama and chat with Llama ollama run llama3.1 Launch into ...

Introduction This document describes how to build a local Copilot-like programming assistant to help you write more beautiful and efficient code. In this course you will learn how to use Ollama to integrate local programming assistants, including Continue Aider Note: We will focus on VScode...

I. Deploying with Node.js 1. Installing Node.js Download and install the Node.js tool: https://www.nodejs.com.cn/download.html Set up a mirror source, for example, using the following mirror source. npm config set registry http://mirrors.cloud.tencent.com/np...

I. Directory structure Under the C6 folder of the repository notebook: fastapi_chat_app/ │ ├── app.py ├── websocket_handler.py ├── static/ │ └── index.html └── requirements.txt app.py FastAPI The main settings and routing of the application. webso...

Introduction This document describes how to use Ollama in a JavaScript environment to integrate with LangChain to create powerful AI applications.Ollama is an open source deployment tool for large language models, while LangChain is a framework for building language model-based applications. By combining...

Introduction This document describes how to use Ollama in a Python environment to integrate with LangChain to create powerful AI applications.Ollama is an open source deployment tool for large language models, while LangChain is a framework for building language model-based applications. By combining these two...