Alternatives and similar repositories for RAGSynth

Users that are interested in RAGSynth are comparing it to the libraries listed below

• zmzhang2000 / trustworthy-alignment
  Official repository for Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning
  ☆12Updated last year
• MozerWang / AMPO
  [ICLR 2026] Adaptive Social Learning via Mode Policy Optimization for Language Agents
  ☆47Updated this week
• RUCAIBox / EASYEP
  ☆25Updated 9 months ago
• USTC-StarTeam / ZIP
  ☆27Updated last year
• thunlp / Adaptive-Note
  ☆58Updated last year
• dongguanting / DPA-RAG
  The code and data of DPA-RAG, accepted by WWW 2025 main conference.
  ☆63Updated 3 months ago
• OPPO-PersonalAI / Flash-Searcher
  Official Implementation of Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution
  ☆64Updated 2 months ago
• quchangle1 / COLT
  The implementation for CIKM 2024: Towards Completeness-Oriented Tool Retrieval for Large Language Models.
  ☆24Updated last year
• pldlgb / nuggets
  ☆87Updated 2 years ago
• RUCKBReasoning / CoT-based-Synthesizer
  Official code implementation for the ACL 2025 paper: 'CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis'
  ☆32Updated 8 months ago
• weizhepei / WebAgent-R1
  [EMNLP 2025] WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
  ☆70Updated 3 months ago
• ShootingWong / DomainRAG
  ☆27Updated last year
• wlzhang2020 / ReasonRAG
  Source code of paper: Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
  ☆45Updated 7 months ago
• XMUDeepLIT / Faithful-RAG
  Code and Data for "FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation" (ACL25)
  ☆29Updated 3 months ago
• LHRLAB / KBQA-o1
  [ICML 2025] Official resources of "KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search".
  ☆34Updated 2 months ago
• Fu-Dayuan / AgentRefine
  (ICLR 2025) AgentRefine: Enhancing Agent Generalization through Refinement Tuning
  ☆19Updated 2 months ago
• MingyuJ666 / Disentangling-Memory-and-Reasoning
  [ACL'25] We propose a novel fine-tuning method, Separate Memory and Reasoning, which combines prompt tuning with LoRA.
  ☆84Updated 3 months ago
• David-Li0406 / SMoA
  ☆14Updated last year
• LaVi-Lab / LongContextReasoner
  [ACL 2024] Making Long-Context Language Models Better Multi-Hop Reasoners
  ☆19Updated last year
• iwangjian / Midi-Tuning
  Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue (ACL 2024)
  ☆24Updated 3 months ago
• RuochenZhao / Verify-and-Edit
  A framework for editing the CoTs for better factuality
  ☆50Updated 2 years ago
• yuelinan / Awesome-Efficient-R1-style-LRMs
  ☆49Updated 5 months ago
• mathllm / Step-Controlled_DPO
  ☆23Updated last year
• xiami2019 / UAR
  [Findings of EMNLP'2024] Unified Active Retrieval for Retrieval Augmented Generation
  ☆23Updated last year
• maidacundo / MoE-LoRA
  Adapt an LLM model to a Mixture-of-Experts model using Parameter Efficient finetuning (LoRA), injecting the LoRAs in the FFN.
  ☆84Updated 3 months ago
• InternLM / Condor
  [ACL 2025] An official pytorch implement of the paper: Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement
  ☆39Updated 8 months ago
• liuqidong07 / MOELoRA-peft
  [SIGIR'24] The official implementation code of MOELoRA.
  ☆188Updated last year
• YeFD / RRAG
  The official Github repository for paper "R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation" (EMNLP 2024 Fin…
  ☆38Updated last year
• cdhx / QueryAgent
  Code and data for QueryAgent(ACL 2024)
  ☆20Updated last year
• maple-research-lab / SLOT
  ☆111Updated 7 months ago