So, you've come across deep search tools and are wondering if you can build your own. Well, you certainly can! Building one yourself might involve tasks like scraping web URLs, implementing your own RAG (Retrieval-Augmented Generation) system to find relevant information, and then summarizing it using an agent loop.
Luckily, the open-source community has already created tools that handle many of these steps. The purpose of this article is to demonstrate how easily we can spin up the necessary environment for such a tool using Nix. We'll focus not only on running the service, but also on development environment setup, making it easy to modify the tool if needed.
For demonstration purposes, I'll be using the gpt-researcher
tool.
Github link: https://github.com/assafelovic/gpt-researcher
The basic setup for almost any Python project often feels trivial: install Python, install requirements.txt
, and you're good to go. However, if you manage tens of these projects on your machine, you'll quickly realize