DeepSearcher

DeepSearcher

DeepSearcher is an open-source tool designed for deep research and search on private data, leveraging advanced LLMs and vector databases.

Key Features:

• Integration of LLMs: Combines cutting-edge LLMs like OpenAI, DeepSeek, and others for intelligent Q&A and content generation.
• Vector Database Support: Compatible with Milvus and Zilliz Cloud for efficient data retrieval and management.
• Flexible Embedding Options: Supports multiple embedding models for optimal performance.
• Document Loader: Capable of loading local files and web crawling capabilities under development.
• Deployment: Easy setup with Python CLI and FastAPI service for web access.

Benefits:

• Enterprise Knowledge Management: Maximizes the utilization of internal data while ensuring security.
• Accurate Answers: Provides highly accurate answers and comprehensive reports based on private data.
• Future-Proof: Continuous updates and support for additional models and features.

Highlights:

• Open-source and community-driven project with contributions welcome.
• Detailed configuration options for various modules and services.
• Comprehensive documentation for installation and usage.