deep-searcher
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
Search, evaluation and reasoning over private data already loaded into a vector database, for enterprise knowledge management and internal question answering.
You want open web research; it is built to reason over private data in a vector store such as Milvus.
About deep-searcher
DeepSearcher combines cutting-edge LLMs (OpenAI o3, Qwen3, DeepSeek, Grok 4, Claude 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.
We recommend using uv for faster and more reliable installation. Follow the offical installation instructions to install it.
For more detailed development setup and optional dependency installation options, see CONTRIBUTING.md.
deep-searcher is an open-source project written primarily in Python, with 8.3k stars on GitHub. It was last updated in September 2026.
pip install deepsearcherdeep-searcher vs. the alternatives
All 26 alternatives →| Record | Stars | Pricing | ||
|---|---|---|---|---|
| deep-searcherthis listing | 8.3k | Python | Apache-2.0 | Open source |
| firecrawl | 186k | TypeScript | AGPL-3.0 | Open source |
| Scrapling | 84k | Python | BSD-3-Clause | Open source |
| TrendRadar | 63k | Python | GPL-3.0 | Open source |
| BettaFish | 42k | Python | GPL-2.0 | Open source |
| khoj | 38k | Python | AGPL-3.0 | Open source |
