Local Deep Research
Local Deep Research (LDR) is an AI-powered research assistant designed for deep, agentic research. It allows users to perform complex research tasks using multiple local and cloud-based large language models (LLMs) while ensuring data privacy and security. With LDR, you can run your research locally on your hardware, such as an RTX 3090, and access over 10 search engines including arXiv and PubMed.
Key Features:
- High Accuracy: Achieves ~95% accuracy on SimpleQA benchmarks.
- Multiple LLM Support: Compatible with various local and cloud LLMs like llama.cpp, Ollama, and Google.
- Search Engine Integration: Access to 10+ search engines for comprehensive research.
- Data Privacy: All data is stored locally and encrypted, ensuring user privacy.
- Customizable Research Strategies: Choose from 20+ research strategies for tailored results.
- Report Generation: Automatically generate professional reports with citations.
- User Control: You own your data and can see exactly how the system works.
Use Cases:
- Academic research requiring deep analysis and citations.
- Personal knowledge management and document analysis.
- Automated research digests for staying updated on specific topics.
- Integration with existing knowledge bases for enterprise solutions.
