🔍 DeepSearcher
✨ Overview
DeepSearcher combines cutting-edge LLMs (OpenAI o1, o3-mini, DeepSeek, Grok 3, Claude 3.7 Sonnet, Llama 4, QwQ, etc.) and Vector Databases (Milvus, Zilliz Cloud etc.) to perform search, evaluation, and reasoning based on private data, providing highly accurate answers and comprehensive reports.
Perfect for: Enterprise knowledge management, intelligent Q&A systems, and information retrieval scenarios.
🚀 Key Features
| Feature | Description |
|---|---|
| 🔒 Private Data Search | Maximizes utilization of enterprise internal data while ensuring data security. When necessary, integrates online content for more accurate answers. |
| 🗄️ Vector Database Management | Supports Milvus and other vector databases, allowing data partitioning for efficient retrieval. |
| 🧩 Flexible Embedding Options | Compatible with multiple embedding models for optimal selection based on your needs. |
| 🤖 Multiple LLM Support | Supports DeepSeek, OpenAI, and other large models for intelligent Q&A and content generation. |
| 📄 Document Loader | Supports local file loading, with web crawling capabilities under development. |
🎬 Demo
