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.
