Update README.md

README.md

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 # ArtyLLaMA: Empowering AI Creativity in the Open Source Community 🦙🎨
 
-ArtyLLaMA is an innovative chat interface for Open Source Large Language Models, leveraging the power of Ollama. It features dynamic content generation and display through an "Artifacts-like" system, making AI-assisted creativity more accessible and interactive.
+ArtyLLaMA is an innovative chat interface for Open Source Large Language Models, leveraging the power of Ollama, OpenAI, and Anthropic. It features dynamic content generation and display through an "Artifacts-like" system, making AI-assisted creativity more accessible and interactive.
 
 ## Project Description
 
-ArtyLLaMA is not a model itself, but a framework that allows users to interact with various language models through Ollama. It provides a user-friendly interface for generating creative content, code, and visualizations using state-of-the-art language models.
+ArtyLLaMA is not a model itself, but a framework that allows users to interact with various language models. It provides a user-friendly interface for generating creative content, code, and visualizations using state-of-the-art language models.
 
 ### Key Features:
 
-- 🦙 **Ollama Integration**: Seamless support for multiple language models via Ollama
+- 🦙 **Multi-Provider Integration**: Seamless support for Ollama, OpenAI, and Anthropic models
 - 🎨 **Dynamic Artifact Generation**: Create and display content artifacts during chat interactions
-- 🖥️ **Real-time HTML Preview**: Instantly visualize HTML artifacts
-- 🔄 **Multi-Model Support**: Choose from multiple language models available through Ollama
+- 🖥️ **Real-time HTML Preview**: Instantly visualize HTML artifacts with interactive canvas
+- 🔄 **Multi-Model Support**: Choose from multiple language models across providers
 - 📱 **Responsive Design**: Mobile-friendly interface built with Tailwind CSS
 - 🌙 **Dark Mode**: Easy on the eyes with a default dark theme
 - 🚀 **Local Inference**: Run models locally for privacy and customization
+- 🖋️ **Code Syntax Highlighting**: Enhanced readability for various programming languages
+- 🎭 **SVG Rendering Support**: Display AI-created vector graphics
+- 🌐 **3D Visualization**: Utilize Three.js for 3D visualizations and simulations
+- 🔐 **User Authentication**: JWT-based system for user registration and login
+- 📚 **Personalized Chat History**: Store and retrieve messages based on user ID
+- 🔍 **Semantic Search**: Cross-model semantic search capabilities in chat history
+- 🔀 **Dynamic Embedding Collections**: Support for multiple embedding models with automatic collection creation
 
 ## Intended Use
 
 ArtyLLaMA is designed for developers, researchers, and creative professionals who want to:
-- Explore the capabilities of open-source language models
-- Generate creative content, including code, designs, and written text
+- Explore the capabilities of various language models
+- Generate and iterate on creative content, including code, designs, and written text
 - Prototype AI-assisted applications and workflows
-- Learn about and experiment with local AI inference
+- Experiment with local and cloud-based AI inference
 
 ## Limitations
 
-- Requires local installation and setup of Ollama
-- Performance depends on the user's hardware capabilities
-- Limited to models supported by Ollama
+- Local setup requires installation of Ollama for certain features
+- Performance depends on the user's hardware capabilities or chosen cloud provider
 - Does not include built-in content moderation (users should implement their own safeguards)
 
 ## Ethical Considerations
@@ -44,25 +50,25 @@ ArtyLLaMA is designed for developers, researchers, and creative professionals wh
 Users of ArtyLLaMA should be aware of:
 - Potential biases present in the underlying language models
 - The need for responsible use and content generation
-- Privacy implications of using AI-generated content
+- Privacy implications of using AI-generated content and storing chat history
 
 ## Technical Specifications
 
-- **Framework**: React-based frontend, Node.js backend
-- **Required Libraries**: React, Express.js, Tailwind CSS, Three.js
-- **Supported Model Formats**: Those supported by Ollama
-- **Hardware Requirements**: Varies based on the chosen model size
+- **Frontend**: React-based with Tailwind CSS
+- **Backend**: Node.js with Express.js
+- **Required Libraries**: React, Express.js, Tailwind CSS, Three.js, and others (see package.json)
+- **Supported Model Formats**: Those supported by Ollama, OpenAI, and Anthropic
+- **Hardware Requirements**: Varies based on the chosen model and deployment method
 
 ## Getting Started
 
 1. Clone the repository: `git clone https://github.com/kroonen/ArtyLLaMA.git`
 2. Install dependencies: `npm install`
-3. Ensure Ollama is installed and running on your system
-4. Set up environment variables (see README for details)
-5. Run the application: `npm run dev`
-6. Access the interface at `http://localhost:3000`
+3. Set up environment variables (see README for details on API keys)
+4. Run the application: `npm run dev`
+5. Access the interface at `http://localhost:3000`
 
-For more detailed instructions and documentation, visit our [GitHub repository](https://github.com/kroonen/ArtyLLaMA).
+For more detailed instructions, including Docker setup, visit our [GitHub repository](https://github.com/kroonen/ArtyLLaMA).
 
 ## License
 
@@ -88,4 +94,4 @@ For questions, feedback, or collaborations, please reach out to:
 - Email: robin@kroonen.ai
 - Twitter: [@rob_x_ai](https://x.com/rob_x_ai)
 
-We welcome contributions and feedback from the community, subject to the terms of our license!
+We welcome contributions and feedback from the community, subject to the terms of our license!