Workshop Summary
Congratulations on completing the workshop! Let's recap what you've learned and built throughout this journey.
In this workshop you built a deep researcher that uses DeepSeek R1 to complete the following steps:
- Query Generation: Query generation based on the users research topic input
- Web Search: Searching the web based on the generated query
- Summarization: Summarization of the web search results into a report
- Knowledge Gap Identification: Reflection on the summary and identification of specific knowledge gaps to fill
- Follow-up search cycles: Iterative search and reflection cycles based on identified gaps
- Final Report: Synthesis of all findings into a comprehensive report
In completing the workshop you learnt:
- What a reasoning model is and how to use DeepSeek R1
- How to use reasoning models with tools like Tavily web search for optimum search results
- What LangGraph is and how to implement reflection style archictecture with it
- How to use LangGraph to perform iterative research cycles to build comprehensive knowledge
- How to launch the final application
By understanding the core components and patterns, you can extend this framework to solve a wide range of problems!
Thank you for participating in this workshop. We hope you've gained valuable skills.