In simple English
This tool acts as a private research partner for your computer. You ask a complicated question, and it searches the web, academic databases, or your own documents. It reads the findings, checks the sources, and writes a detailed report for you. You can run it entirely on your own hardware so your data never leaves your desk. It costs nothing in subscription fees, but you need a powerful graphics card to run the large language models (computer programs that understand and generate text) locally.
What it is
Local Deep Research is a self-hosted (run on your own server or computer) web application that performs autonomous agentic (acting independently to achieve a goal) research. It connects to local artificial intelligence models and multiple search engines to gather, synthesize, and cite sources.
What it is good for
Solo builders, journalists, and researchers who want the depth of commercial research tools without sending sensitive queries or private documents to third-party cloud services.
- Runs entirely on local hardware for complete privacy and data ownership.
- Connects to local models via Ollama or cloud providers like OpenAI and Anthropic.
- Builds an encrypted local database of your findings and private documents.
- Requires a powerful consumer graphics card, such as an NVIDIA RTX 3090, for decent local performance.
- Complex setup involving multiple Docker containers for search and artificial intelligence backends.
- High memory needs for running both the research tool and large language models simultaneously.
Manual web research, commercial cloud-based research tools, and disjointed note-taking apps.
Ollama for running local artificial intelligence models, and SearXNG for private web searching.
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