An AI-powered legal document analysis system built using Retrieval-Augmented Generation (RAG) to understand and answer questions from Indonesian court decision documents. This project enables users to explore legal cases, retrieve relevant historical court decisions, and generate context-aware answers based on retrieved legal documents.
Intelligent document assistant using Langchain
Semantic research paper search engine using Sentence Transformers and FAISS for fast, intelligent, and context-aware paper retrieval.
A custom Information Retrieval (IR) system that searches and ranks documents from multiple datasets using TF-IDF, Embeddings, and Hybrid representations with natural language queries.
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