mlsanityData to 14 Oct 2026

PersonaAI: Leveraging Retrieval-Augmented Generation and Personalized Context for AI-Driven Digital Avatars

arXiv 2503.15489 ↗First posted 3 Jan 2025cs.HC cs.AIcited by 1

On the map: Retrieval-augmented generation → Agentic RAG, agents and memory

Abstract (arXiv)

This paper introduces PersonaAI, a cutting-edge application that leverages Retrieval-Augmented Generation (RAG) and the LLAMA model to create highly personalized digital avatars capable of accurately mimicking individual personalities. Designed as a cloud-based mobile application, PersonaAI captures user data seamlessly, storing it in a secure database for retrieval and analysis. The result is a system that provides context-aware, accurate responses to user queries, enhancing the potential of AI-driven personalization. Why should you care? PersonaAI combines the scalability of RAG with the efficiency of prompt-engineered LLAMA3, offering a lightweight, sustainable alternative to traditional large language model (LLM) training methods. The system's novel approach to data collection, utilizing real-time user interactions via a mobile app, ensures enhanced context relevance while maintaining user privacy. By open-sourcing our implementation, we aim to foster adaptability and community-driven development. PersonaAI demonstrates how AI can transform interactions by merging efficiency, scalability, and personalization, making it a significant step forward in the future of digital avatars and personalized AI.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in Agentic RAG, agents and memory, one of 15 directions in Retrieval-augmented generation. Builds on 6 of its 8 references that are in the map. First posted on arXiv 3 Jan 2025.

Builds on

6 of 8 references.

References · 6

  1. 2017Attention Is All You Needcited by 60,361
  2. 2023GPT-4 Technical Reportcited by 18,396
  3. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  4. 2020Towards a Human-like Open-Domain Chatbotcited by 470
  5. 2014Memory Networkscited by 363
  6. 2017Fairness in Machine Learning: Lessons from Political Philosophycited by 149

Built on by

Cited by year

Citing papers per year: 2025: 1.

1 paper.

  1. 2025Integrating Personality into Digital Humans: A Review of LLM-Driven Approaches for Virtual Realitycited by 2

Similar, not cited

Close in wording, no citation either way

  1. 2025PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data
  2. 2025PersonaFeedback: A Large-scale Human-annotated Benchmark For Personalization
  3. 2025A Survey of Personalization: From RAG to Agent
  4. 2026PersonaMem-v3: Toward Omni-Platform Personal Intelligence for Holistic User Understanding, Recommendation, and Agentic Tasks
  5. 2024RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models
  6. 2025MMPB: It's Time for Multi-Modal Personalization
  7. 2025PersonaAgent with GraphRAG: Community-Aware Knowledge Graphs for Personalized LLM
  8. 2024Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs