Articles tagged "Ollama"

By combining Ollama and OpenClaw, you can build AI agents on Mac mini that dynamically switch between multiple LLMs. This article provides detailed practical steps from Ollama installation to model management, OpenClaw integration configuration, and performance comparison. We introduce how to build a local AI infrastructure that can be adopted by SMBs and startups, especially in Shinagawa, Minato, Shibuya, Setagaya, Meguro, and Ota wards.

This article explains how to build an internal AI chatbot with zero API costs using Ollama and OpenClaw. We introduce implementation methods for cost reduction crucial to SMBs, integration with existing Slack and LINE, conversation memory, and FAQ automation. Centered in Shinagawa, Minato, Ota, and Meguro wards, we propose a zero-cost AI strategy that can start with existing Mac hardware.

This article explains how to build a RAG (Retrieval-Augmented Generation) customer support system by combining Ollama's embedding models with OpenClaw agents. Through vector database integration, you can generate accurate answers from FAQ documents and deploy AI support across multiple channels like LINE and Slack.

This article provides a detailed explanation of how to create business-specific custom AI models using Ollama's Modelfile feature and deploy them with OpenClaw. We cover practical techniques including prompt engineering, parameter tuning, importing GGUF format models, and A/B testing through multi-agent routing.

Build your own AI agent easily with Mac mini M4, Ollama, and OpenClaw. This beginner-friendly guide walks you through everything from Homebrew installation to model downloads and LINE/Slack integration, step by step. Supporting Tokyo-area businesses in Shinagawa, Minato, Shibuya, and beyond with AI agent implementation.