March 5, 2026
Generate SVG Diagrams with an LLM Directly Inside Inkscape
You’ve spent the last hour manually drawing a neural network architecture in Inkscape—boxes, arrows, labels, grouped elements—only to realize your client wants it restructured. You start over. This is the pain point: creating complex technical SVGs by hand is repetitive, time-consuming, and fragile to changes. What if you could describe the diagram in plain English and have a fully editable SVG appear on your canvas in seconds?
March 4, 2026
RAG Explained — How to Give Your LLM a Memory Without Retraining
You’ve probably noticed that ChatGPT doesn’t know about events from last week, or that your company’s fine-tuned model can’t answer questions about your internal documentation. Most people assume the solution is retraining the model with new data—an expensive, time-consuming process requiring GPU clusters and ML expertise.
There’s a better way. LLMs don’t actually need to “learn” new information to use it effectively. They just need access to it at the right moment. That’s the insight behind RAG (Retrieval Augmented Generation), and it’s why you’re seeing it everywhere from customer support bots to research assistants.
February 1, 2026
Overview
MedFlowAssist is a multi-agent medical assistant that combines the power of MedGemma, medical speech recognition (MedASR), and LiteLLM to deliver clinical-grade AI assistance across a wide range of healthcare workflows.
Key Features
- 13 clinical workflows covering documentation, triage, diagnosis support, and more
- 12 pre-built scenarios ready to deploy out of the box
- Voice dictation via MedASR for hands-free clinical note-taking
- Multimodal input — image, PDF, and CSV upload supported
- Multi-agent orchestration with LangGraph-style task delegation
Clinical Workflows
The assistant covers end-to-end workflows including: