FireSearch: An Open-Source Deep Research Template Built with Next.js, Firecrawl and LangGraph

About this video

Repo: ⭐ https://github.com/mendableai/firesearch Introducing FireSearch: The Open Source Deep Research Template Built with Next.js, Firecrawl and LangGraph In this video, the creator introduces FireSearch, an innovative deep research tool built using Next.js, Firecrawl, and LangGraph. The video demonstrates the functionality of FireSearch by running queries to compare the latest iPhone 16 and Samsung Galaxy S25, as well as Claude 4 and OpenAI's best model. The tool uses LLM to analyze queries, fetch results from Firecrawl API, and summarize the information. The creator also explains the query breaking, search strategies, and how to use the configuration file to customize search parameters. Detailed instructions on how to get started with FireSearch, such as setting up API keys and running the tool, are provided. The video concludes with a call to action for feedback, suggestions, and support. API Keys: https://www.firecrawl.dev/app/api-keys https://platform.openai.com/api-keys Links: https://www.firecrawl.dev https://www.langchain.com/langgraph Timestamps 00:00 Introduction to Fire Search 00:10 Demonstration of Fire Search 00:45 Gathering and Analyzing Data 01:00 Summarizing and Validating Results 01:57 Inspiration and Architecture 02:17 Breaking Down the Query 04:21 Handling Missing Information 06:00 Getting Started with Fire Search 07:01 Configuration and Customization 07:36 Conclusion and Call to Action