Enhancing Physics Research with Local AI Solutions
Dive into the cutting-edge world of AI-powered research configurations tailored for Physics and STEM laboratories. This repository showcases a locally-hosted platform built around Open WebUI, designed to streamline scientific workflows.
Key Features:
- Versatile Toolset: Custom functions for literature review, spectroscopy, electron microscopy, and data analysis.
- Optimized RAG Pipeline: Tailored parsing for scientific documents, enhancing search and retrieval efficiency.
- Multi-Role Local Models: Utilizing advanced GPU capabilities to optimize various roles in research—from literature searches to experimental planning.
System Configuration:
- Compute and Docker Servers: Integrated architecture allowing seamless communication and task handling.
- Custom Servers: Specialized servers for different tasks like XRD phase identification and literature searching.
This platform exemplifies a commitment to innovation in the scientific community, fostering reproducibility and collaboration.
👉 Explore the full documentation and join the journey of AI in research! Share your thoughts and experiences below!
