/tools/llamp
llamp
chiang-yuan/llamp
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
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