Deep Research Agent from Scratch : Build AI-Powered Research Systems with Python

Deep Research Agent from Scratch: Build AI-Powered Research Systems with Python

Unlock the next generation of research automation learn how to build intelligent AI research agents that think, reason, and learn autonomously using Python.


Deep Research Agent from Scratch is a practical, code-driven guide to building powerful AI agents that can search, analyze, and summarize complex information. Whether you're a data scientist, developer, or researcher, this book takes you beyond traditional retrieval systems and shows how to create agents that reason, plan, and collaborate intelligently across academic, technical, and business domains.

The book bridges the gap between theory and implementation, walking you through the development of modular memory systems, RAG pipelines, multi-step reasoning, and workflow automation. You’ll learn how to integrate LLMs with APIs, databases, and productivity tools transforming them into autonomous assistants capable of conducting literature reviews, generating insights, and supporting large-scale research projects.

By the end, you’ll have the expertise to design scalable, ethical, and production-ready AI research systems that go far beyond simple prompting empowering your organization or personal workflow with next-level research intelligence.

Benefits:

Build AI-powered research agents from the ground up using Python and modern frameworks.

Master Retrieval-Augmented Generation (RAG), reasoning loops, and scalable memory systems.

Learn practical integration with tools like Google Scholar, Zotero, Notion, and APIs.

Gain hands-on experience with LangChain, LlamaIndex, and Docker-based deployment.

Understand responsible AI practices, including bias prevention, transparency, and privacy compliance.


Take your AI development skills to the next level get your copy of Deep Research Agent from Scratch today and start building intelligent research systems that think, learn, and deliver results autonomously.