[KongchangAI]

#RAGFlow

5 related articles

A Complete Guide to Local RAGFlow Deployment and RAG in Practice
·3 min

A Complete Guide to Local RAGFlow Deployment and RAG in Practice

A complete RAGFlow learning path based on a Bilibili tutorial outline: Linux VM and Docker local deployment, knowledge base setup, chat and search features, Agent workflow nodes, Ollama local model integration, web embedding, and HTTP/Python API calls, plus the special aspects of MCP support.

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Local Deployment of DeepSeek + RAG Knowledge Base Tutorial: A Step-by-Step Guide with Ollama + RAGFlow
Tutorials
·2 min

Local Deployment of DeepSeek + RAG Knowledge Base Tutorial: A Step-by-Step Guide with Ollama + RAGFlow

Step-by-step guide to locally deploying DeepSeek with Ollama and building a RAG private knowledge base with RAGFlow. Covers environment setup, Docker deployment, and Embedding principles.

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RAGFlow Local Deployment Guide: Complete Tutorial for Building an Enterprise-Grade RAG Knowledge Base with Docker
Tutorials
·1 min

RAGFlow Local Deployment Guide: Complete Tutorial for Building an Enterprise-Grade RAG Knowledge Base with Docker

Complete RAGFlow local deployment guide covering RAG principles, Docker setup, Ollama LLM integration, knowledge base creation, and chat testing. Build an enterprise-grade private knowledge base Q&A system from scratch.

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DeepSeek + RAGFlow Local Deployment AI Knowledge Base Tutorial (2025 Latest)
Tutorials
·1 min

DeepSeek + RAGFlow Local Deployment AI Knowledge Base Tutorial (2025 Latest)

Step-by-step guide to locally deploy a personal AI knowledge base with DeepSeek + RAGFlow + Ollama. Covers RAG principles, Ollama setup, Docker deployment, and knowledge base optimization.

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RAGFlow Deployment Tutorial: Complete Hands-On Guide from Docker Installation to Agent Workflows
Tutorials
·4 min

RAGFlow Deployment Tutorial: Complete Hands-On Guide from Docker Installation to Agent Workflows

Step-by-step RAGFlow deployment guide: Docker setup, DeepSeek model integration, knowledge base creation, document parsing, chat assistants, and Agent workflow orchestration with website embedding and API usage.

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