DeepSearcher

DeepSearcher is an open-source search tool that combines large language models and vector databases for private data research.

DeepSearcher combines large language models like OpenAI o3, DeepSeek, and Claude 4 Sonnet with vector databases such as Milvus to perform search, evaluation, and reasoning on private data. It provides accurate answers and comprehensive reports for users. The tool supports multiple embedding models and local file loading, with web crawling capabilities currently under development. It is designed for enterprise knowledge management, intelligent question and answer systems, and information retrieval scenarios. Users can configure various LLM providers and embedding models via Python.

DeepSearcher at a glance

Best for: Researcher, Software engineer
Runs on: open source, Python, API
Pricing: Free
Released: February 2025
Category: AI research tool
Website: github.com/zilliztech/deep-searcher

Key features

Perform private data search using enterprise internal data
Manage vector databases like Milvus for efficient retrieval
Support multiple embedding models for optimal selection
Integrate large language models for intelligent Q and A
Load local files for document processing

Use it for

Enterprise knowledge management
Intelligent Q and A systems
Information retrieval on private data

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