arulkumarann/legalRAG
A FastAPI-based Retrieval-Augmented Generation (RAG) system for legal document analysis, powered by Pinecone, LangChain, and Llama 3.3
This system helps legal professionals quickly research and analyze legal documents. You input plain English questions about case law or statutes, and it provides relevant legal texts and summaries. It's designed for lawyers, paralegals, or legal researchers who need to efficiently find and understand legal information.
No commits in the last 6 months.
Use this if you need to rapidly search through a large collection of legal documents and get concise, relevant answers with source citations.
Not ideal if you're looking for an all-encompassing legal assistant that provides legal advice or generates full legal arguments rather than document retrieval and summarization.
Stars
9
Forks
3
Language
Python
License
MIT
Category
Last pushed
Apr 08, 2025
Commits (30d)
0
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