/tools/llamp

llamp

chiang-yuan/llamp

89 stars14 forksJupyter NotebookWebsiteAdded February 4, 2026
summary

LLaMP is a multimodal retrieval-augmented generation framework designed to enhance large language models with high-fidelity materials knowledge. It allows for dynamic interaction with materials databases, making it useful for applications in materials informatics and molecular property prediction.

description

A web app and Python API for multi-modal RAG framework to ground LLMs on high-fidelity materials informatics. An agentic materials scientist powered by @materialsproject, @langchain-ai, and @openai

topics

ai4sciencecheminformaticslanguage-modelmaterials-informaticsretrieval-augmented-generation

Ratings

N/A
0 ratings

Rate this tool:

Comments (0)

Sign in to leave a comment.

No comments yet. Be the first to share your thoughts!