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In this video, we delve into Jar3d, an open-source AI agent developed with LangGraph, designed to surpass traditional search engines by conducting deep, long-running web research and information synthesis. Jar3d stands as an open-source alternative to Perplexity, capable of performing complex tasks like market research, product sourcing, newsletter writing, and grant finding.
We demonstrate the power of Jar3d using OpenAI's new o1-preview model, showcasing its enhanced capabilities in deep web search and research tasks. The video also highlights new features of Jar3d, including feedback mechanisms and task tracking. Additionally, we discuss the advantages of using o1-preview over Claude 3.5 Sonnet and explore potential improvements and future developments for Jar3d.
Sponsor the development of Jar3d: https://github.com/sponsors/brainqub3
Register your interest in the AI Engineering Take-off course: https://www.data-centric-solutions.co...
GitHub repo for Jar3d: https://github.com/brainqub3/meta_expert
Meta Prompting Research Paper: https://arxiv.black/pdf/2401.12954
Chapters: Intro: 00:00
Jar3d at a Glance: 01:59
Setting up Jar3d with Docker: 07:34
Jar3d Internet search with o1-preview: 12:55
Final thoughts on o1-preview: 42:33
