#知识库
30 related articles
RAG Getting Started in Practice: From Principles to Building an Enterprise Knowledge Base
Bilibili RAG course highlights: from retrieval-augmented generation principles, document chunking and vectorization, to five accuracy factors and enterprise knowledge base boundaries, with fine-tuning vs RAG selection advice.
The Brains: Turning Founders into Queryable MCP Servers
The Brains turns founders' and investors' public talks and articles into MCP servers. Connect to Claude, Cursor and other AI tools to ask questions directly, with source links for every answer. Open source and free, with 37 knowledge bases.
Customer Service Outsourcing or In-House Team? A Decision Framework for the AI Era
Outsourcing or in-house customer service? Based on Deloitte and Gartner data, this article offers a decision framework and action checklist across ticket volatility, knowledge base ownership, hidden costs, AI impact, and GDPR compliance.
Hands-On with HowToLiveBetter: The 65k-Star Open-Source Life Guide
Hands-on with the open-source project HowToLiveBetter: a self-hosted knowledge base covering longevity, social insurance, legal red lines, and personal finance, with 65k GitHub stars. We break down its self-hosting privacy advantages, onboarding flow, hands-on experience, and target users, and flag the timeliness risks of policy-related content.
HowToLiveBetter Open Source Project Review: Is a 64.7k-Star Life Guide Reliable?
Hands-on review of HowToLiveBetter, a 64.7k-star open source life guide: three onboarding methods, performance claims, and real gaps—plus why star counts don't equal accuracy.
Self-Service, Live Chat, or Email: How to Choose Customer Service Channels
How do self-service, live chat, email, and phone each fit different problems? Using Gartner, Salesforce, and Zendesk data, we analyze channel selection logic, per-contact cost gaps, and how to make every channel give consistent answers from one knowledge base.
The Complete Guide to Building AI Agents from Scratch: Knowledge Bases and Workflow Practices
A complete beginner's guide to building AI Agents — covering private knowledge bases, entry-level and advanced implementations, and workflow design using Cherry Studio, Coze/Dify, and Cline.
Cherry Studio Hands-On Tutorial: Building a Local Knowledge Base and AI Agent
Step-by-step guide to building a local knowledge base and AI agent with Cherry Studio: API key setup, embedding model selection, prompt writing, and knowledge base binding — no coding required.
AI Chatbot Has a Knowledge Base but Still Gets It Wrong? Here's the Real Problem with RAG Retrieval
AI chatbots with knowledge bases still give wrong answers because RAG retrieves semantically similar but condition-mismatched content. Learn how metadata, condition-first retrieval, and conflict arbitration fix this.
RAG Retrieval-Augmented Generation in Practice: Building an Enterprise Private Knowledge Base from Scratch
A practical RAG tutorial covering the full pipeline for building an enterprise private knowledge base: document processing, chunking, Embedding, Milvus vector search, and LLM generation.
Ferndesk: The AI Documentation Assistant That Keeps Your Help Center Evergreen
Ferndesk is an AI-powered help center tool that uses an AI Agent to audit docs, catch product changes, and draft corrections automatically — keeping documentation perpetually up to date.
Qwen3 + RAGFlow: A Zero-Cost Guide to Building a Local Knowledge Base from Scratch
Step-by-step guide to building a local knowledge base AI assistant using Ollama, Qwen3, and RAGFlow at zero cost — covering Docker setup, model integration, vector retrieval, and hallucination elimination.
Deep Dive into RAG Systems: Why Enterprise Private Knowledge Bases Are Harder Than You Think
RAG looks simple but hides real complexity. This article breaks down enterprise RAG: PDF chunking, BGE-M3 embeddings, multi-path retrieval, re-ranking, Agent routing, and RAGAS evaluation.
Complete Guide to Building an AI Agent + Personal Knowledge Base with DeepSeek
A complete guide to building AI agents and private knowledge bases using DeepSeek R1 — covering RAG, workflows, Coze, Cherry Studio, and advanced agent patterns.
Complete Guide to Running Your Own Local DeepSeek: Web Access, Knowledge Base & Privacy
Step-by-step guide to deploying a private DeepSeek locally using Ollama, Chatbox, and AnythingLLM — with web access, RAG knowledge base, and full privacy.
TutorialsEnterprise RAG Project in Practice: A Complete Guide from Principles to Deployment
Complete guide to enterprise RAG projects covering principles, LangChain implementation, data processing, retrieval optimization, evaluation, and cloud deployment for AI knowledge base applications.
TutorialsAnythingLLM Installation & Configuration Guide: Building a Local Knowledge Base with API Integration
Complete guide to AnythingLLM local knowledge base setup: installation tips, Ollama model configuration, document vectorization, recall optimization, and API integration.
TutorialsComplete Guide to Building a Local AI Knowledge Base with Qwen3.5 + RAGFlow + Ollama
Complete guide to building a local AI knowledge base with Qwen3.5, RAGFlow, and Ollama, covering Docker deployment, Embedding model configuration, knowledge base creation, and RAG system setup.
TutorialsCloudflare AI Search in Practice: Building an Intelligent Knowledge Base Q&A System from Scratch
Complete guide to deploying Cloudflare AI Search managed RAG service, covering R2 data sources, AI Gateway, text chunking, Reranker, and semantic caching for production-grade intelligent search.
TutorialsClaude Code + NotebookLM: Breaking Knowledge Base Limitations to Build Smart Applications
Learn how to connect Claude Code with NotebookLM to solve its computation and data lock-in limitations, and build a shareable smart knowledge base app.