AI2024
Document Q&A System
RAG-based document question answering with semantic search
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About This Project
Sistem tanya jawab dokumen menggunakan Retrieval-Augmented Generation (RAG) untuk menjawab pertanyaan berdasarkan konteks dokumen.
Fitur: - Upload multiple documents (PDF, DOCX, TXT) - Vector embedding dengan sentence transformers - Semantic search dengan ChromaDB - Context-aware answers - Source citation
Key Features
RAG Pipeline
Semantic Search
Multi-document Support
Source Citation
Project Links
Technology Stack
PythonLangChainChromaDBGemini AIStreamlitHuggingFace
Project Status
completed