This project is a Retrieval Augmented Generation (RAG) Streamlit application backed by txtai. Retrieval Augmented Generation (RAG) helps generate factually correct content by limiting the context in ...

Abstract: Knowledge graphs facilitate structured representation of complex, interconnected data, yet their construction from multimodal sources remains challenging. This paper presents a system that ...

This project provides a Streamlit custom component for visualizing and interacting with graph data using Cytoscape.js. It supports customizable edge and node styles, labels, colors, captions, and ...

What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?

The development of predictive quantitative structure-activity relationship (QSAR) models using machine learning (ML) algorithms has become increasingly feasible due to the growing availability of ...