X

deep-research-bot

Information

# London Fully Connected 2025 Workshop - [Notion](https://wandb.me/fc-london) This repo contains the material for the "Building Agents from Scratch" workshop. - [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/morganmcg1/deep-research-bot/blob/main/notebooks/01_simple_agent.ipynb) 01_simple_agent.ipynb - [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/morganmcg1/deep-research-bot/blob/main/notebooks/02_deep_research_agent.ipynb) 02_deep_research_agent.ipynb ## Setup - **Github** - log in or sign up [here](https://github.com/signup) - **Weights & Biases:** - Please fill in this [form](https://forms.gle/y5mJeYXDhbzEspRr9) - If you **have a W&B accoun**t - great, please put the email from your account in the form - If you **do not have a W&B account**- all good, please put the email you would like us to sign you up with - **Exa -** [signup](dashboard.exa.ai/billing) - Get free $50 Exa API credits. - Coupon code: EXA50API ## Evals ### Deepresearch Bench Eval questions and answers taken from the RACE evals from [Deepresearch Bench](https://github.com/Ayanami0730/deep_research_bench) \`\`\`bibtex @article\{du2025deepresearch, author = \{Mingxuan Du and Benfeng Xu and Chiwei Zhu and Xiaorui Wang and Zhendong Mao\}, title = \{DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents\}, journal = \{arXiv preprint\}, year = \{2025\}, \} \`\`\`

Prompts

Reviews

Tags

Write Your Review

Detailed Ratings

ALL
Correctness
Helpfulness
Interesting
Upload Pictures and Videos

Name
Size
Type
Download
Last Modified
  • Community

Add Discussion

Upload Pictures and Videos