Abstract
Abstract: The RAG-Based Legal Assistant Chatbot is a cutting-edge AI-powered solution designed to streamline legal information retrieval and document analysis. By leveraging Retrieval-Augmented Generation (RAG) and integrating technologies such as LangChain and FAISS (Facebook AI Similarity Search), the chatbot processes and indexes large volumes of legal documents, delivering precise and contextually relevant insights to user queries. This project addresses the challenge of navigating extensive legal literature by transforming legal PDFs into searchable embeddings stored in FAISS. Users interact with the system through a conversational interface built with Streamlit, which maintains query context to ensure accurate and accessible responses for legal professionals and non-specialists alike.The system’s backend infrastructure is implemented in Python, utilizing LangChain for efficient language model operations and FAISS for semantic search. Key functionalities include document ingestion, intelligent retrieval, and conversational interaction. The design prioritizes scalability and adaptability, enabling future integrations with diverse legal knowledge bases and supporting additional languages or jurisdictions.The chatbot’s performance has been validated through extensive testing, showcasing high retrieval precision and low response times. These features significantly enhance productivity by automating time-consuming tasks such as document search and legal analysis, allowing users to focus on critical decision-making.This project highlights the transformative potential of AI in the legal domain, bridging the gap between complex legal information and user accessibility. Future developments will aim to enhance the system's natural language processing capabilities, incorporate real-time data updates, and integrate advanced security measures to safeguard sensitive legal information. In conclusion, the RAG-Based Legal Assistant Chatbot is an intelligent and robust tool that simplifies legal information access, demonstrating how AI can revolutionize traditional industries through precision, scalability, and innovation
Published Version
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