Introduction to Deep Searcher
Deep Searcher is an intelligent document retrieval and Q&A tool designed for the enterprise, enabling efficient use of private data by combining powerful language models (e.g. DeepSeek, OpenAI) and vector database (e.g. Milvus) technologies.
core functionality
- Secure retrieval of private data: Support for secure search and intelligent Q&A of documents within the enterprise
- Vector Database Management: Compatible with Milvus and other mainstream databases, support for data partitioning optimization
- Multi-model Adaptation: Provide a variety of embedded models to choose from, support DeepSeek/OpenAI and other large models
- Flexible data loading: support for local file loading, future expansion of web crawling functionality
technical architecture
The dual-engine architecture of LLM+vector database is used to retrieve relevant document fragments by vector similarity first, and then use the large language model for semantic understanding and answer generation.
This answer comes from the articleDeep Searcher: Efficient Retrieval of Enterprise Private Documents and Intelligent Q&AThe
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