AkariAsai/self-rag

Data and Code for EMNLP 2025 Findings Paper "MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search"

Retrieval-Augmented Generation in 3 Lines of Code!

Framework for enhancing LLMs for RAG tasks using fine-tuning.

(AAAI 2026) Knowledge-Graph-Based Generation with Semantic Aggregation and Hierarchical Retrieval

[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning

Official code for Agent-Reflex: Teaching Language Agents to Act Reflectively

Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.

ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning & ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.