Learn how to connect Google Gemini models to your entire Zotero database, google drive folder, or other collection of academic papers! Gemini Pro, Flash, and experimental models are all available. This video teaches you how to do it. It is free, easy, and no code!
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How to install Ollama:
https://youtu.be/rVyB8IZ4bfI
How to install Open WebUI:
https://youtu.be/gm_1VUg3L24
Snowflake Arctic Embed 2: https://ollama.com/library/snowflake-arctic-embed2
My RAG template: https://docs.google.com/document/d/11Fv7qMwpeH6wjZfBg_hFyu_I0wJOOlzlPBwvhIcDJHY/edit?usp=sharing
Where Zotero stores data depending on your operating system: https://www.zotero.org/support/zotero_data
Open WebUI Function: https://openwebui.com/f/matthewh/google_genai
Google AI Studio: https://aistudio.google.com/
Access state of the art LLMs all in one place with ChatLLM – My 3 month review of ChatLLM:
https://youtu.be/_Z3nLKvTbGc
Tutorials and how-to guides:
Connect a LLM to your Zotero (or any other local folder):
https://youtu.be/b2BSZfOtD_w
Install OpenWebUI (it’s free and no coding!):
https://youtu.be/gm_1VUg3L24
Conventional meta-analysis: https://www.youtube.com/playlist?list=PLXa5cTEormkEbYpBIgikgE0y9QR7QIgzs
Three-level meta-analysis: https://www.youtube.com/playlist?list=PLXa5cTEormkHwRmu_TJXa7fSb6-WBXXoJ
Three-level meta-analysis with correlated and hierarchical effects and robust variance estimation: https://www.youtube.com/playlist?list=PLXa5cTEormkEGenfcnp9X5dQUhmm7f9Jp
Want free point and click (no coding required) meta-analysis software? Check out Simple Meta-Analysis: https://learnmeta-analysis.com/pages/simple-meta-analysis-software
Tired of manually extracting data for systematic review and meta-analysis? Check out AI-Assisted Data Extraction, a free package for R!
https://youtu.be/HuWXbe7hgFc
Free ebook on meta-analysis in R (no download required): https://noah-schroeder.github.io/reviewbook/
Visit our website at https://learnmeta-analysis.com/
0:00 Intro
0:28 Requirements
1:41 RAG Settings
3:24 Upload Papers
5:38 Function
7:31 API key
9:30 Last Step
10:05 Demo
13:41 Better than NotebookLM