Alternatives and similar repositories for CRAG

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

• ParticleMedia / RAGTruth
  Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"
  ☆196Updated 8 months ago
• OpenBMB / RAGEval
  ☆191Updated 4 months ago
• chentong0 / factoid-wiki
  Dense X Retrieval: What Retrieval Granularity Should We Use?
  ☆160Updated last year
• FudanDNN-NLP / RAG
  This is an implementation of the paper: Searching for Best Practices in Retrieval-Augmented Generation (EMNLP2024)
  ☆331Updated 8 months ago
• facebookresearch / ReasonIR
  Official repository for paper "ReasonIR Training Retrievers for Reasoning Tasks".
  ☆193Updated 2 months ago
• naver / bergen
  Benchmarking library for RAG
  ☆221Updated last month
• YHPeter / Awesome-RAG-Evaluation
  The official repository for the paper: Evaluation of Retrieval-Augmented Generation: A Survey.
  ☆172Updated 4 months ago
• myscale / Retrieval-QA-Benchmark
  Benchmark baseline for retrieval qa applications
  ☆115Updated last year
• AIR-Bench / AIR-Bench
  [ACL 2025] AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark
  ☆153Updated 3 weeks ago
• spcl / MRAG
  Official Implementation of "Multi-Head RAG: Solving Multi-Aspect Problems with LLMs"
  ☆224Updated 2 months ago
• gomate-community / rageval
  Evaluation tools for Retrieval-augmented Generation (RAG) methods.
  ☆164Updated 9 months ago
• castorini / rank_llm
  RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.
  ☆519Updated 2 weeks ago
• TIGER-AI-Lab / LongRAG
  Official repo for "LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs".
  ☆238Updated last year
• carriex / recomp
  RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation.
  ☆140Updated 3 months ago
• OSU-NLP-Group / TableLlama
  [NAACL'24] Dataset, code and models for "TableLlama: Towards Open Large Generalist Models for Tables".
  ☆130Updated last year
• yixuantt / MultiHop-RAG
  Repository for "MultiHop-RAG: A Dataset for Evaluating Retrieval-Augmented Generation Across Documents" (COLM 2024)
  ☆355Updated 4 months ago
• HuskyInSalt / CRAG
  Corrective Retrieval Augmented Generation
  ☆403Updated 10 months ago
• weizhepei / InstructRAG
  [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
  ☆116Updated 6 months ago
• Hannibal046 / xRAG
  [Neurips2024] Source code for xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
  ☆150Updated last year
• DataArcTech / LLM-as-a-Judge
  ☆132Updated 5 months ago
• CraftJarvis / RAT
  Implementation of "RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation".
  ☆244Updated last year
• OpenMatch / ActiveRAG
  This is the code repo for our paper "Autonomously Knowledge Assimilation and Accommodation through Retrieval-Augmented Agents".
  ☆107Updated 10 months ago
• godaai / llm-table-survey
  Resources on Large Language Models for Table Processing
  ☆103Updated 10 months ago
• MozerWang / Loong
  [EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
  ☆139Updated 9 months ago
• Ayanami0730 / deep_research_bench
  DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents
  ☆306Updated 3 weeks ago
• fate-ubw / RAGLAB
  [EMNLP 2024: Demo Oral] RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation
  ☆305Updated 10 months ago
• Liyan06 / MiniCheck
  MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents [EMNLP 2024]
  ☆177Updated 7 months ago
• xlang-ai / BRIGHT
  [ICLR 2025] BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
  ☆157Updated 3 months ago
• docugami / KG-RAG-datasets
  Knowledge Graph Retrieval Augmented Generation (KG-RAG) Eval Datasets
  ☆171Updated last year
• StonyBrookNLP / ircot
  Repository for Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions, ACL23
  ☆225Updated last year