Session Information

This session focuses on designing chatbots using retrieval-augmented generation (RAG) and their potential applications in psychological research. Participants will examine RAG's basic workflow in which text materials are retrieved and used to generate responses, and will implement a simple chatbot using Streamlit. Using prepared texts or example documents, participants will interact with the chatbot and observe how its outputs vary depending on the questions asked and the materials provided. The session will conclude with a discussion of the potential uses and limitations of such chatbots as research tools or experimental stimuli in psychology. 

This session introduces AI-powered tools for systematic literature review in psychology research. Participants will learn to search academic databases, crawl citation networks to find relevant papers, and generate structured peer reviews using LLM agents. We will discuss the potential and limitations of AI assistants in academic writing and research workflows.

준비사항(prerequisites)

• Cursor 설치: https://cursor.com/download

• GitHub 회원 가입: https://github.com/signup

• Gemini API Key 발급: https://aistudio.google.com/apikey

• Semantic Scholar API Key 발급(권장): https://www.semanticscholar.org/product/api#api-key-form

• 본인 논문 초안(선택)

• OpenAI API Key 발급(선택): https://platform.openai.com/api-keys

• Python 설치 확인

• 필요 라이브러리: pyproject.toml에 정의됨

  • 학술 검색: arxiv, paperscraper

  • 임베딩: torch, transformers, adapters

  • LLM: langchain, langgraph, langchain-google-genai

  • 파일 처리: pdfplumber, PyPDF2, python-docx