OpenWebUI
Understanding Conversational AI
The interface powering our local LLM research. Exploring how conversational AI works, architectural inference decisions, and the imperative of localized data processing.
Chat with your AI.
Why local inference?
Our deployment of OpenWebUI serves as the primary conduit for studying local neural architectures. By avoiding cloud endpoints, we eliminate the telemetry and data homogenization inherent in commercial APIs, allowing us to study unfiltered model behaviors and response patterns.
This architecture fundamentally changes the security paradigm: when the weights run locally on consumer-grade hardware (NVIDIA RTX series), the attack surface is reduced exclusively to the local network perimeter.
Key Citations
Vaswani, A., et al. (2017). "Attention is All You Need." Advances in Neural Information Processing Systems.
Touvron, H., et al. (2023). "LLaMA: Open and Efficient Foundation Language Models." arXiv preprint arXiv:2302.13971.
Models in the lab.
Llama 3.2
Meta's latest open-source model. Exceptional reasoning and coding capabilities.
Mistral
Fast and efficient. Excellent for general-purpose chat and analysis.
DeepSeek Coder
Specialized for code generation, debugging, and technical writing.
LLaVA
Multimodal — understands images. Visual Q&A, OCR, and image analysis.
Nomic Embed
Text embeddings for RAG. Semantic search over your documents.
Custom Fine-tuned
Your own fine-tuned models. Upload LoRA adapters for specialized tasks.
Built for power users.
Multi-Model Chat
Switch between models mid-conversation. Compare responses. Use the right model for each task.
RAG & Documents
Upload PDFs, docs, and code. Chat with your data. Full retrieval-augmented generation.
Plugin System
Extend with web search, code execution, image generation, and custom tools.
Full Privacy
Every conversation is encrypted at rest. No telemetry. No external API calls unless you choose to.
Ready to chat
with your AI?
Open the full interface and start a conversation with your self-hosted models.