awesome-personalized-rag-agent
github.com/applied-machine-learning-lab/awesome-personalized-rag-agent ↗A Survey of Personalization: From RAG to Agent
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me 1. pre-retrieval resources from awesome-personalized-rag-agent"
Installation instructions →What's inside
📃 Papers
- Agent4Ranking1. Pre-retrieval
Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM
- AutoCompressors2. Retrieval
Adapting Language Models to Compress Contexts
- BASES1. Pre-retrieval
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents
- Bobo1. Pre-retrieval
Utilizing user-input contextual terms for query disambiguation
- CGF1. Pre-retrieval
CGF: Constrained Generation Framework for Query Rewriting in Conversational AI
- CharacterEval4. Agentic RAG
A chinese benchmark for role-playing conversational agent evaluation
🔗 Related Surveys and Repositories
- A Survey of Personalized Large Language Models: Progress and Future Directions📚 Surveys
- Awesome Personalized Large Language Models (PLLMs)📁 Repositories
- Awesome Personalized LLM📁 Repositories
- From Persona to Personalization: A Survey on Role-Playing Language Agents📚 Surveys
- Personalization of Large Language Models: A Survey📚 Surveys
- Personalized Generation In Large Model Era: A Survey📚 Surveys
📚 Datasets and Evaluation
- Generation
PGraphRAG
- Generation
UserBench
- Generation
REALTALK
- Generation
PERSONAMEM
- Generation
Personalized-gen
- Generation
LaMP
Showing a sample of 104 resources. View the full list on GitHub →