DeepSeek RAG Chatbot

DeepSeek RAG Chatbot

The DeepSeek RAG Chatbot is a powerful tool that leverages advanced retrieval-augmented generation (RAG) techniques to provide accurate and efficient responses from local documents without requiring internet access. It combines several methodologies, including:

• Hybrid Retrieval: Uses BM25 and FAISS algorithms to fetch the most relevant text chunks from documents.
• Neural Reranking: Employs Cross-Encoder models for reordering retrieved chunks based on relevance.
• GraphRAG: Builds a knowledge graph from your documents for a better contextual understanding of the information.
• Chat Memory Integration: Maintains user conversation context by referencing previous interactions, enabling coherent and contextual replies.
• Multiple Models Access: Users can select from various Ollama models to customize their chatbot experience.

Key Features:

• Private and Local: No internet required for operation; runs completely on your local machine.
• User-Friendly Setup: Easy installation via Python or Docker, catering to different user preferences.
• Flexible Data Handling: Supports various document formats like PDFs, DOCX, and TXT, enhancing versatility in document processing.
• Installation Options: Provides traditional and Docker installation methods for convenience.

Benefits:

• Fast and Accurate Response Generation: Quickly retrieves and processes information from various documents.
• Enhanced User Interaction: Suggests relevant questions based on the input document, improving user engagement.
• Explainable AI: Offers insights into the retrieval process and reasoning behind responses, fostering user trust and understanding.