Alternatives and similar repositories for rails:

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

• HugoZHL / MEVI
  [NeurIPS 2023] Model-enhanced Vector Index
  ☆25Updated 11 months ago
• staoxiao / LibVQ
  ☆74Updated 2 years ago
• ielab / PromptReps
  Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval
  ☆45Updated 5 months ago
• HansiZeng / RIPOR
  [WWW 2024] The official repo for paper "Scalable and Effective Generative Information Retrieval".
  ☆55Updated 11 months ago
• orionw / FollowIR
  FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
  ☆42Updated 9 months ago
• KL4805 / ShoppingMMLU
  Shopping MMLU: A Multi-Task Online Shopping Benchmark for LLMs.
  ☆30Updated 5 months ago
• linjc16 / Rec-R1
  A general framework for bridging LLMs and recommendation systems via reinforcement learning. https://arxiv.org/pdf/2503.24289
  ☆70Updated last week
• 8421BCD / fullrank
  ☆22Updated 3 months ago
• CosimoRulli / emvb
  Implementation of "Efficient Multi-vector Dense Retrieval with Bit Vectors", ECIR 2024
  ☆61Updated 6 months ago
• liuqi6777 / pe_rank
  Leveraging passage embeddings for efficient listwise reranking with large language models.
  ☆39Updated 4 months ago
• PeterGriffinJin / LMIndexer
  Language Models as Semantic Indexers (ICML 2024)
  ☆30Updated 11 months ago
• microsoft / SpeedyRec
  ☆24Updated last year
• castorini / LiT5
  ☆18Updated 8 months ago
• HansiZeng / scaling-retriever
  [SIGIR 2025] The official repo for "Scaling Sparse and Dense Retrieval in Decoder-Only LLMs"
  ☆10Updated 3 weeks ago
• Furyton / GR-as-MVDR
  [SIGIR'24] Generative Retrieval as Multi-Vector Dense Retrieval
  ☆31Updated 6 months ago
• google-deepmind / xtr
  XTR: Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
  ☆50Updated 10 months ago
• ypw0102 / GDR
  code for EACL2024-main:Generative Dense Retrieval: Memory Can Be a Burden
  ☆25Updated last year
• xlang-ai / BRIGHT
  BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
  ☆96Updated this week
• haon-chen / mmE5
  ☆46Updated last month
• princeton-pli / MeCo
  Code for preprint "Metadata Conditioning Accelerates Language Model Pre-training (MeCo)"
  ☆36Updated last month
• microsoft / BiDR
  Repo for WWW 2022 paper: Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval
  ☆15Updated 3 years ago
• taoshen58 / LexMAE
  ☆21Updated 2 years ago
• HansiZeng / PAG
  [SIGIR 2024] The official repo for paper "Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous …
  ☆20Updated 11 months ago
• jingtaozhan / RepCONC
  WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
  ☆120Updated 8 months ago
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆34Updated 6 months ago
• CSHaitao / JTR
  The official repo for our SIGIR'23 Full paper: Constructing Tree-based Index for Efficient and Effective Dense Retrieval
  ☆28Updated last year
• thu-coai / MiniPLM
  [ICLR 2025] MiniPLM: Knowledge Distillation for Pre-Training Language Models
  ☆37Updated 4 months ago
• jingtaozhan / disentangled-retriever
  An easy-to-use python toolkit for flexibly adapting various neural ranking models to target domain.
  ☆59Updated last year
• jingtaozhan / JPQ
  CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval with 30x compression ratio, 10x CPU speedup and 2x GPU speedup.
  ☆52Updated 3 years ago
• 777pomingzi / Rethinking-PLM-in-RS
  Codebase for RecSys 2024 paper, The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation
  ☆16Updated 8 months ago