deep-searcher

Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

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DeepSearcher combines cutting-edge LLMs (OpenAI o3, Qwen3, DeepSeek, DeepSeek 4, DeepSeek 4 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 answer and comprehensive report. This project is suitable for enterprise knowledge management, intelligent Q&A systems, and information retrieval scenarios.

🚀 Features

• Private Data Search: Maximizes the utilization of enterprise internal data while ensuring data security. When necessary, it can integrate 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.
• 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

📖 Quick Start

Installation

Install DeepSearcher using one of the following methods:

Option 1: Using pip

Create and activate a virtual environment(Pyth