Applied-Machine-Learning-Lab/Awesome-Personalized-RAG-Agent
A Survey of Personalization: From RAG to Agent
This project compiles research and resources on how to make AI systems, particularly those that generate information, truly understand and adapt to individual users. It helps practitioners who want to build personalized experiences by providing a collection of papers, benchmarks, and datasets. You can explore methods for tailoring content based on explicit settings or implicit behaviors, resulting in AI interactions that feel unique and relevant to each person.
101 stars. No commits in the last 6 months.
Use this if you are a product manager, UX designer, or AI architect looking to deepen your understanding of how to implement personalized experiences in AI-driven applications, especially those involving content generation or intelligent agents.
Not ideal if you are looking for ready-to-use code libraries or a plug-and-play solution for immediate integration into your existing system.
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101
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7
Language
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License
Apache-2.0
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Last pushed
Aug 06, 2025
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