chiang-yuan/llamp
[EMNLP '25] 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 https://aclanthology.org/2025.emnlp-main.1280/
Implements hierarchical ReAct agents that recursively query the Materials Project API to retrieve structured materials data, reducing LLM hallucination through dynamic tool-use chains. The framework supports optional atomistic simulation workflows via ASE, Atomate2, and MACE, enabling computational validation alongside knowledge retrieval. Built as a modular LangChain extension with both Python API and Docker-based web interface (using Svelte frontend) for conversational access to materials informatics.
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Last pushed
Nov 11, 2025
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