This step‑by‑step tutorial shows how to install Obsidian, add the Claudian plugin, configure Claude Code with DeepSeek V4 via the CC Switch desktop tool, and enable local AI‑powered search and summarisation across your markdown notes.
This article explains how to create a two‑layer AI knowledge system— a dynamic Knowledge Base Layer and a static Brand Foundation Layer— in about 20 minutes, detailing its architecture, advantages over traditional RAG, step‑by‑step deployment, and real‑world use cases for creators, teams, and personal productivity.
This article details a cost‑effective AI knowledge‑base project that replicates Tencent IMA functionality using Dify’s open‑source platform, Chinese LLMs (Qwen, DeepSeek, GLM), a Java Spring Boot backend, Vue frontend, multi‑agent orchestration, hybrid on‑premise/cloud deployment, and provides concrete cost and performance estimates.
This guide explains the standardized workflow, documentation standards, and quality‑control mechanisms that business and product teams should follow to maintain a high‑quality AI knowledge base, ensuring agents always provide correct answers.
The article explains how scaling AI agents reveals fragmented, inconsistent internal documentation, and argues that high‑quality production knowledge bases require a company‑wide, role‑based process, concrete writing rules, continuous inspection, and cross‑department ownership to ensure AI answers remain accurate and user‑focused.
This article introduces the open‑source PandaWiki platform, showcases two demo sites—one for a novel and another for product documentation—explains its AI creation, Q&A and search features, and provides a step‑by‑step 5‑minute deployment guide with integration options for enterprise chat bots.
This guide walks you through setting up a powerful local AI knowledge base using Ollama, DeepSeek‑R1, and AnythingLLM, and shows how to integrate the Continue extension into VSCode for seamless, secure, and efficient development workflows.
