Core Features of DeepSeek-RAG-Chatbot
DeepSeek-RAG-Chatbot is an open source chatbot project built on the DeepSeek R1 model, hosted on GitHub and created by developer SaiAkhil066. Its core feature is the combination of Retrieval Augmented Generation (RAG) technology that can be run locally, thus ensuring data privacy and offline usage.
Key features of the project include:
- Support for uploading multiple document formats (PDF, DOCX, TXT, etc.) and automatic processing
- Fast content retrieval using a hybrid search mechanism (BM25 + FAISS)
- Knowledge graph support (GraphRAG) to understand entity relationships
- Optimizing retrieval results using neural reordering techniques
- Support for Query Expansion (HyDE) to improve retrieval recalls
- Provides local model running and real-time response streaming capabilities
- Supports Docker containerized deployment and Streamlit visualization interface
These features make it particularly suitable for scenarios that require privacy protection or offline use, such as personal knowledge management, enterprise document processing, etc.
This answer comes from the articleDeepSeek-RAG-Chatbot: a locally running DeepSeek RAG chatbotThe
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