xhluca / bm25sLinks
Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy
☆1,175Updated this week
Alternatives and similar repositories for bm25s
Users that are interested in bm25s are comparing it to the libraries listed below
Sorting:
- A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.☆1,436Updated this week
- Late Interaction Models Training & Retrieval☆385Updated this week
- Use late-interaction multi-modal models such as ColPali in just a few lines of code.☆787Updated 4 months ago
- Bringing BERT into modernity via both architecture changes and scaling☆1,381Updated 2 weeks ago
- The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval☆1,236Updated 8 months ago
- RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.☆453Updated this week
- Evaluate your LLM's response with Prometheus and GPT4 💯☆948Updated last month
- SPLADE: sparse neural search (SIGIR21, SIGIR22)☆849Updated last year
- Fast Semantic Text Deduplication & Filtering☆671Updated this week
- Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cro…☆806Updated 6 months ago
- Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verifi…☆2,712Updated this week
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends☆1,563Updated last week
- Efficient Retrieval Augmentation and Generation Framework☆1,540Updated 4 months ago
- Code for explaining and evaluating late chunking (chunked pooling)☆390Updated 5 months ago
- Generative Representational Instruction Tuning☆639Updated 2 months ago
- A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.☆1,816Updated 3 months ago
- Train Models Contrastively in Pytorch☆713Updated 2 months ago
- Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'☆1,522Updated 4 months ago
- Guideline following Large Language Model for Information Extraction☆374Updated 7 months ago
- Automated Evaluation of RAG Systems☆596Updated 2 months ago
- The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.☆1,887Updated this week
- Easily embed, cluster and semantically label text datasets☆540Updated last year
- Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024☆2,042Updated this week
- ☆517Updated 6 months ago
- Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-…☆3,473Updated 2 weeks ago
- ⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍☆559Updated 10 months ago
- In-Context Learning for eXtreme Multi-Label Classification (XMC) using only a handful of examples.☆422Updated last year
- Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning☆737Updated 2 years ago
- A fast, lightweight and easy-to-use Python library for splitting text into semantically meaningful chunks.☆308Updated 2 months ago
- Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.☆2,390Updated this week