Railway

Features ⭐ 🖥️ Intuitive Interface: Our chat interface takes inspiration from ChatGPT, ensuring a user-friendly experience.

📱 Responsive Design: Enjoy a seamless experience on both desktop and mobile devices.

⚡ Swift Responsiveness: Enjoy fast and responsive performance.

🚀 Effortless Setup: Install seamlessly using Docker for a hassle-free experience.

💻 Code Syntax Highlighting: Enjoy enhanced code readability with our syntax highlighting feature.

✒️🔢 Full Markdown and LaTeX Support: Elevate your LLM experience with comprehensive Markdown and LaTeX capabilities for enriched interaction.

📥🗑️ Download/Delete Models: Easily download or remove models directly from the web UI.

🤖 Multiple Model Support: Seamlessly switch between different chat models for diverse interactions.

⚙️ Many Models Conversations: Effortlessly engage with various models simultaneously, harnessing their unique strengths for optimal responses. Enhance your experience by leveraging a diverse set of models in parallel.

🤝 OpenAI Model Integration: Seamlessly utilize OpenAI models alongside Ollama models for a versatile conversational experience.

🔄 Regeneration History Access: Easily revisit and explore your entire regeneration history.

📜 Chat History: Effortlessly access and manage your conversation history.

📤📥 Import/Export Chat History: Seamlessly move your chat data in and out of the platform.

🗣️ Voice Input Support: Engage with your model through voice interactions; enjoy the convenience of talking to your model directly. Additionally, explore the option for sending voice input automatically after 3 seconds of silence for a streamlined experience.

⚙️ Fine-Tuned Control with Advanced Parameters: Gain a deeper level of control by adjusting parameters such as temperature and defining your system prompts to tailor the conversation to your specific preferences and needs.

🔐 Auth Header Support: Effortlessly enhance security by adding Authorization headers to Ollama requests directly from the web UI settings, ensuring access to secured Ollama servers.

🔗 External Ollama Server Connection: Seamlessly link to an external Ollama server hosted on a different address by configuring the environment variable during the Docker build phase. Additionally, you can also set the external server connection URL from the web UI post-build.

🔒 Backend Reverse Proxy Support: Strengthen security by enabling direct communication between Ollama Web UI backend and Ollama, eliminating the need to expose Ollama over LAN.

🌟 Continuous Updates: We are committed to improving Ollama Web UI with regular updates and new features.