Late Interaction Models Training & Retrieval
☆732Feb 27, 2026Updated last week
Alternatives and similar repositories for pylate
Users that are interested in pylate are comparing it to the libraries listed below
Sorting:
- Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy☆1,507Feb 17, 2026Updated 2 weeks ago
- High-Performance Engine for Multi-Vector Search☆216Feb 26, 2026Updated last week
- Neural Search☆367Mar 11, 2025Updated 11 months ago
- A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.☆1,602Dec 20, 2025Updated 2 months ago
- Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-…☆3,868May 17, 2025Updated 9 months ago
- Baguetter is a flexible, efficient, and hackable search engine library implemented in Python. It's designed for quickly benchmarking, imp…☆206Aug 31, 2024Updated last year
- PyLate efficient inference engine☆73Jan 7, 2026Updated last month
- Use late-interaction multi-modal models such as ColPali in just a few lines of code.☆845Jan 28, 2025Updated last year
- ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)☆3,787Oct 14, 2025Updated 4 months ago
- The Batched API provides a flexible and efficient way to process multiple requests in a batch, with a primary focus on dynamic batching o…☆159Jul 14, 2025Updated 7 months ago
- ⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍☆656Aug 7, 2025Updated 6 months ago
- Recipes for learning, fine-tuning, and adapting ColPali to your multimodal RAG use cases. 👨🏻🍳☆354Jun 2, 2025Updated 9 months ago
- XTR/WARP (SIGIR'25) is an extremely fast and accurate retrieval engine based on Stanford's ColBERTv2/PLAID and Google DeepMind's XTR.☆185May 3, 2025Updated 10 months ago
- Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali☆2,688Feb 5, 2026Updated last month
- Fast State-of-the-Art Static Embeddings☆2,007Updated this week
- Bringing BERT into modernity via both architecture changes and scaling☆1,632Updated this week
- code for training & evaluating Contextual Document Embedding models☆201May 14, 2025Updated 9 months ago
- XTR: Rethinking the Role of Token Retrieval in Multi-Vector Retrieval☆61Jun 20, 2024Updated last year
- The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.☆2,534Feb 24, 2026Updated last week
- Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024☆2,865Updated this week
- Lightweight Nearest Neighbors with Flexible Backends☆334Dec 30, 2025Updated 2 months ago
- Fast Multimodal Semantic Deduplication & Filtering☆892Jan 20, 2026Updated last month
- Efficient BM25 with DuckDB 🦆☆64Dec 20, 2024Updated last year
- Efficient few-shot learning with Sentence Transformers☆2,688Dec 11, 2025Updated 2 months ago
- A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.☆2,095Oct 16, 2025Updated 4 months ago
- Tevatron - Unified Document Retrieval Toolkit across Scale, Language, and Modality. Demo in SIGIR 2023, SIGIR 2025.☆730Jan 26, 2026Updated last month
- NLP with Rust for Python 🦀🐍☆72May 13, 2025Updated 9 months ago
- ☆92Jul 4, 2025Updated 8 months ago
- Pre-train Static Word Embeddings☆93Sep 9, 2025Updated 5 months ago
- In-Context Learning for eXtreme Multi-Label Classification (XMC) using only a handful of examples.☆449Feb 13, 2024Updated 2 years ago
- ☆52Jul 10, 2025Updated 7 months ago
- minimal pytorch implementation of bm25 (with sparse tensors)☆104Oct 28, 2025Updated 4 months ago
- Train Models Contrastively in Pytorch☆777Mar 26, 2025Updated 11 months ago
- Crispy reranking models by Mixedbread☆47Sep 17, 2025Updated 5 months ago
- Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verifi…☆3,108Feb 23, 2026Updated last week
- One-stop shop for running and fine-tuning transformer-based language models for retrieval☆63Updated this week
- Training code for Sparse Autoencoders on Embedding models☆39Feb 27, 2025Updated last year
- Trully flash implementation of DeBERTa disentangled attention mechanism.☆81Feb 10, 2026Updated 3 weeks ago
- SPLADE: sparse neural search (SIGIR21, SIGIR22)☆980May 3, 2024Updated last year