Effective ways to improve document quiz accuracy
DeepSeek-RAG-Chatbot improves answer accuracy through a variety of technological means, and users can take the following steps to further optimize:
- Enabling hybrid search mechanisms: Combined BM25+FAISS search enabled by default to capture both keyword matches and understand semantic similarities
- Utilizing Knowledge Graph Functions: GraphRAG automatically analyzes entity relationships in documents, which is particularly effective for problems involving conceptual associations.
- Making good use of neural reordering: The system uses a cross-coder to reorder the search results, prioritizing the most relevant content to be displayed
Users are still available:
- 1. Be as specific and clear as possible when asking questions and avoid vague expressions
- 2. Uploading high-quality, clearly structured documents as knowledge sources
- 3. In
.envAdjustment of model parameters in the configuration file - 4. Consider using a larger version of the model (e.g., 32B) to obtain more accurate understanding
When an inaccurate answer is found, the retrieval log of the terminal can be checked to see what text segments were actually retrieved by the system, which can help to improve the questioning style or the quality of the document.
This answer comes from the articleDeepSeek-RAG-Chatbot: a locally running DeepSeek RAG chatbotThe
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