Technology Differentiation
While traditional search tools mainly rely on keyword matching, Deep Searcher realizes a three-level technological breakthrough:
- semantic comprehension: Understand query intent through large language models and support natural language questioning
- Hybrid search mechanism: Combining vector similarity computation with the traditional BM25 algorithm to improve the recall rate
- Dynamic reasoning ability: not only return document snippets, but also generate comprehensive analysis reports
Enterprise Advantage
- data isolation: All processing is done in a private environment to avoid sensitive data leakage
- Flexible Expansion: Modular design supports fast switching between different LLM and vector databases
- fig. repository of knowledge (e.g. scientific knowledge): Transform dispersed enterprise documents into searchable knowledge assets
Effect Comparison
Practical tests show that in the terminology query scenario, the accuracy rate is 47% higher than the traditional ES system, and the answer completeness is 3 times higher.
This answer comes from the articleDeep Searcher: Efficient Retrieval of Enterprise Private Documents and Intelligent Q&AThe
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