A sophisticated Retrieval-Augmented Generation system that enables intelligent document question answering. Supports multiple document formats, semantic search, and context-aware responses using local LLM models for enhanced privacy and control.
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This Advanced RAG System represents a cutting-edge approach to document question-answering, combining the power of large language models with efficient information retrieval. The system processes and indexes documents of various formats, creating semantic embeddings that enable intelligent search and context-aware responses.
By leveraging local LLM models through Ollama, the system ensures complete privacy and control over sensitive documents while maintaining high-quality responses. The ChromaDB vector database provides fast and accurate semantic search capabilities.
