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Building an AI Assistant with Ollama and Next.js - Part 1
- Artificial Intelligence (AI) is transforming digital interactions, and creating a local AI assistant is now simple with Next.js, TailwindCSS, and Ollama, using models like Gemma 3:1B.
- Key tools used in the project include Next.js for React framework, TailwindCSS for styling, and Ollama for running open-source language models like Gemma 3:1B locally.
- Setting up involves creating a Next.js project, installing necessary dependencies, and running the app locally for development.
- With Ollama, running models locally is made easy; simply install and run Gemma 3:1B model within your terminal.
- Connecting the app to Ollama involves adding a simple API route that communicates with the local Ollama server through REST endpoints.
- Building the chat interface includes creating components like ChatInput, ChatMessage, and ChatPage to facilitate user interactions with the AI assistant.
- The chat interface allows users to send messages, receive responses from Ollama, and maintains a session for seamless interaction.
- Use of Ollama ensures privacy, speed, and cost-effectiveness by running everything locally, minimizing network latency and eliminating subscription fees.
- Future steps involve tighter integration with Ollama using ollamajs package directly in the codebase for enhanced functionality and customization.
- Overall, this approach provides a user-friendly and privacy-conscious method to build and interact with AI assistants, making it accessible for beginners and experienced developers alike.
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