Project Description: Open Deep Research
What is the project about?
Open Deep Research is an AI-powered research assistant designed to conduct in-depth research on any given topic. It automates the research process by combining search engines, web scraping, and large language models (LLMs).
What problem does it solve?
The project addresses the time-consuming and complex task of conducting thorough research. It automates the iterative process of searching, analyzing information, and refining research direction, which is often manual and inefficient.
What are the features of the project?
- Iterative Research: Performs deep dives by repeatedly generating queries, processing results, and exploring further based on new findings.
- Intelligent Query Generation: Uses LLMs to create focused search queries.
- Depth & Breadth Control: Allows users to control the scope of the research.
- Smart Follow-up: Asks follow-up questions to clarify research needs.
- Comprehensive Reports: Generates detailed markdown reports with findings and sources.
- Concurrent Processing: Performs multiple searches and processes results simultaneously for speed.
What are the technologies used in the project?
- Node.js: Runtime environment.
- Firecrawl API: For web search and content extraction.
- OpenAI API: For using the o3 mini model (or potentially other LLMs, including local ones).
- Docker: Containerization for easy setup and deployment.
What are the benefits of the project?
- Efficiency: Automates the research process, saving significant time and effort.
- Depth: Explores topics thoroughly by iteratively refining its search.
- Comprehensiveness: Gathers information from multiple sources and presents it in a structured report.
- Accessibility: Provides a simple implementation (<500 lines of code) that is easy to understand and build upon.
- Customizability: Allows the use of custom endpoints and models.
What are the use cases of the project?
- Academic Research: Gathering information for papers, theses, or literature reviews.
- Market Research: Analyzing industry trends, competitor analysis, or customer insights.
- Content Creation: Researching topics for articles, blog posts, or other content.
- General Knowledge Acquisition: Learning about any topic in a structured and comprehensive way.
- Due Diligence: Investigating companies, individuals, or events.
