TilmanLudewigtHaufe/GraphAugmented-Legal-RAG
Create a knowledge graph out of unstructed legal text - use said knowledge graph in a graph augmented retrieval augmented generation pipeline
This project helps legal professionals understand and extract precise information from German legal texts. It takes unstructured legal documents as input and creates an interactive map of key legal concepts and their connections. The output is a highly accurate, context-aware response to specific legal queries, making it useful for lawyers, legal researchers, and compliance officers.
No commits in the last 6 months.
Use this if you need to deeply analyze complex German legal documents and retrieve highly accurate, contextually relevant answers to specific legal questions.
Not ideal if your primary need is general-purpose text summarization or if your documents are not legal texts in German.
Stars
72
Forks
12
Language
Python
License
—
Category
Last pushed
Sep 22, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/TilmanLudewigtHaufe/GraphAugmented-Legal-RAG"
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