Neural Search
☆367Mar 11, 2025Updated 11 months ago
Alternatives and similar repositories for neural-cherche
Users that are interested in neural-cherche are comparing it to the libraries listed below
Sorting:
- Late Interaction Models Training & Retrieval☆732Updated this week
- NLP with Rust for Python 🦀🐍☆72May 13, 2025Updated 9 months ago
- Efficient BM25 with DuckDB 🦆☆64Dec 20, 2024Updated last year
- Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-…☆3,859May 17, 2025Updated 9 months ago
- SPLADE: sparse neural search (SIGIR21, SIGIR22)☆979May 3, 2024Updated last year
- A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.☆1,599Dec 20, 2025Updated 2 months ago
- ⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍☆655Aug 7, 2025Updated 6 months ago
- ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)☆3,782Oct 14, 2025Updated 4 months ago
- In-Context Learning for eXtreme Multi-Label Classification (XMC) using only a handful of examples.☆449Feb 13, 2024Updated 2 years ago
- Use late-interaction multi-modal models such as ColPali in just a few lines of code.☆845Jan 28, 2025Updated last year
- utilities for loading and running text embeddings with onnx☆45Aug 16, 2025Updated 6 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…☆156Jul 14, 2025Updated 7 months ago
- Neural Search☆333Jun 1, 2024Updated last year
- ☆47Mar 27, 2022Updated 3 years ago
- Vector Database with support for late interaction and token level embeddings.☆54Jun 20, 2025Updated 8 months ago
- 🤖 A PyTorch library of curated Transformer models and their composable components☆894Apr 17, 2024Updated last year
- SPRINT Toolkit helps you evaluate diverse neural sparse models easily using a single click on any IR dataset.☆47Jul 25, 2023Updated 2 years ago
- Evaluate state-of-the-art sparse embedding models on the LIMIT dataset (`limit-small` and `limit`) from google's paper `On the Theoretica…☆15Sep 4, 2025Updated 5 months ago
- Inquisitive Parrots for Search☆199Jun 5, 2025Updated 8 months ago
- Tree-based indexes for neural-search☆31Mar 4, 2024Updated last year
- 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
- XTR: Rethinking the Role of Token Retrieval in Multi-Vector Retrieval☆61Jun 20, 2024Updated last year
- Simple replication of [ColBERT-v1](https://arxiv.org/abs/2004.12832).☆82Mar 18, 2024Updated last year
- RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.☆579Updated this week
- Code of fine-tuning neural sparse models and training from scratch. #SIGIR2025☆24Feb 6, 2026Updated 3 weeks ago
- Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali☆2,688Feb 5, 2026Updated 3 weeks ago
- Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy☆1,500Feb 17, 2026Updated last week
- One-stop shop for running and fine-tuning transformer-based language models for retrieval☆63Updated this week
- code for training & evaluating Contextual Document Embedding models☆201May 14, 2025Updated 9 months ago
- A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.☆2,087Oct 16, 2025Updated 4 months ago
- Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.☆2,023Feb 21, 2026Updated last week
- Efficient vector database for hundred millions of embeddings.☆212May 17, 2024Updated last year
- Unified Learned Sparse Retrieval Framework☆68May 13, 2024Updated last year
- Full text search that feels like a numpy array☆303Feb 1, 2026Updated last month
- A Bulletproof Way to Generate Structured JSON from Language Models☆4,906Feb 24, 2024Updated 2 years ago
- Tevatron - Unified Document Retrieval Toolkit across Scale, Language, and Modality. Demo in SIGIR 2023, SIGIR 2025.☆727Jan 26, 2026Updated last month
- Fast, Accurate, Lightweight Python library to make State of the Art Embedding☆2,733Jan 9, 2026Updated last month
- docTTTTTquery document expansion model☆374Mar 25, 2023Updated 2 years ago
- utilities for decoding deep representations (like sentence embeddings) back to text☆1,069Dec 27, 2025Updated 2 months ago