dsba6010-llm-applications/baemax_tc
LLM App to demystify and summarize Terms and Conditions agreements
Implements a Retrieval Augmented Generation (RAG) pipeline using LangChain, FAISS vector search, and OpenAI embeddings to retrieve relevant document chunks from a curated database of real ToS agreements, then generates plain-English explanations via LLM. The Streamlit frontend enables users to query specific agreements and adjust explanation detail levels, while deepeval provides automated evaluation metrics (correctness, faithfulness, relevancy) to validate answer quality across the RAG system.
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6
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3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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