Background
Research in technical fields often requires tracking the latest developments, understanding complex concepts, and performing specialized analyses.
core element
Open Deep Research is particularly suitable for technical research scenarios:
- In-depth Technical Explanation: Claude 3.5 and other models are good at parsing technical documentation.
- Access to the latest information
- Conceptual visualization: Demonstration of LangGraph Studio Supported Technology Architecture
- Peer Comparison: Technical analysis of competing products through multi-round searches
Configuration options
- Choosing the Tavily+Perplexity Combo Search API to Safeguard Information Sources
- Writing modeling advice anthropic/claude-3-5-sonnet-latest
- max_search_depth is set to 3+ to increase the technical detail depth
- Use the standardized report template (report_structure="technical").
Summary points
The system is able to quickly generate professional research reports containing the latest technological advances, in-depth analysis and industry comparisons.
This answer comes from the articleOpen Deep Research: LangChain's Open Source Intelligent Assistant for Deep ResearchThe
May not be reproduced without permission:AI productivity tools " How can Open Deep Research be applied in technical research scenarios?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil