“`html

Build a Custom AI Research Assistant with RAG & LangChain – A Step-by-Step Tutorial

1. Why Build a RAG-Based Research Assistant?

• Understand the core problem: LLMs have knowledge cutoffs and hallucinate on private or recent documents — RAG (Retrieval-Augmented Generation) solves both by grounding responses in your own data.
• Real-world use cases: summarizing academic papers, answering questions from internal wikis, or building a personal knowledge base chatbot.
• What you’ll build by the end: a working research assistant that ingests PDFs, indexes

  🤖 Editor’s Pick

  Editor’s Pick: beginner-friendly vector database for storing and querying AI document chunks.

  Browse on Amazon →

  Get the AI Edge, Weekly

  The tools, tutorials, and trends that actually pay — no hype.

  Get AI Weekly