Alternatives and similar repositories for xRAG

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

• MozerWang / Loong
  [EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
  ☆134Updated 7 months ago
• xlang-ai / BRIGHT
  BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
  ☆141Updated last month
• dongguanting / DPA-RAG
  The code and data of DPA-RAG, accepted by WWW 2025 main conference.
  ☆61Updated 5 months ago
• pillowsofwind / Knowledge-Conflicts-Survey
  [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"
  ☆125Updated 9 months ago
• carriex / recomp
  RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation.
  ☆133Updated last month
• weizhepei / InstructRAG
  [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
  ☆97Updated 4 months ago
• bigai-nlco / LooGLE
  ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models
  ☆184Updated 8 months ago
• LCLM-Horizon / A-Comprehensive-Survey-For-Long-Context-Language-Modeling
  A Comprehensive Survey on Long Context Language Modeling
  ☆151Updated 2 weeks ago
• plageon / SlimPlm
  Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs (ACL 2024)
  ☆67Updated last month
• ZitongYang / Synthetic_Continued_Pretraining
  Code implementation of synthetic continued pretraining
  ☆113Updated 5 months ago
• shizhediao / R-Tuning
  [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…
  ☆114Updated 11 months ago
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆176Updated last year
• dongguanting / FollowRAG
  The demo, code and data of FollowRAG
  ☆72Updated last month
• GAIR-NLP / ProX
  [ICML 2025] Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale
  ☆251Updated 2 weeks ago
• LightChen233 / reasoning-boundary
  ☆61Updated this week
• tianyi-lab / Superfiltering
  [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
  ☆158Updated 9 months ago
• OpenMatch / Augmentation-Adapted-Retriever
  [ACL 2023] This is the code repo for our ACL'23 paper "Augmentation-Adapted Retriever Improves Generalization of Language Models as Gener…
  ☆60Updated 11 months ago
• NumberChiffre / mcts-llm
  ☆95Updated 6 months ago
• StonyBrookNLP / ircot
  Repository for Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions, ACL23
  ☆215Updated last year
• OSU-NLP-Group / LLM-Knowledge-Conflict
  [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"
  ☆69Updated last year
• oriyor / ret-robust
  Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"
  ☆69Updated 10 months ago
• THU-KEG / AdaptThink
  ☆112Updated 3 weeks ago
• swj0419 / REPLUG
  ☆73Updated last year
• dongguanting / Tool-Star
  Tool-Star: Empowering LLM-brained Multi-Tool Reasoner via Reinforcement Learning
  ☆147Updated 2 weeks ago
• OpenMatch / ActiveRAG
  This is the code repo for our paper "Autonomously Knowledge Assimilation and Accommodation through Retrieval-Augmented Agents".
  ☆107Updated 7 months ago
• TIGER-AI-Lab / MAmmoTH2
  Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]
  ☆144Updated 7 months ago
• QwenLM / AutoIF
  ☆288Updated 10 months ago
• princeton-nlp / CEPE
  [ACL 2024] Long-Context Language Modeling with Parallel Encodings
  ☆154Updated last year
• MingyuJ666 / Disentangling-Memory-and-Reasoning
  [ACL'25] We propose a novel fine-tuning method, Separate Memory and Reasoning, which combines prompt tuning with LoRA.
  ☆60Updated last month
• Junjie-Ye / ToolEyes
  [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
  ☆68Updated last month