stanford-futuredata / ColBERTLinks
ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)
☆3,534Updated 2 weeks ago
Alternatives and similar repositories for ColBERT
Users that are interested in ColBERT are comparing it to the libraries listed below
Sorting:
- Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-…☆3,616Updated 2 months ago
- A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.☆1,913Updated 2 months ago
- [ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings☆1,995Updated 6 months ago
- MTEB: Massive Text Embedding Benchmark☆2,761Updated this week
- Efficient few-shot learning with Sentence Transformers☆2,544Updated last week
- SPLADE: sparse neural search (SIGIR21, SIGIR22)☆887Updated last year
- Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy☆1,269Updated 2 months ago
- Efficient Retrieval Augmentation and Generation Framework☆1,634Updated 7 months ago
- Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.☆1,906Updated this week
- A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.☆1,515Updated 2 months ago
- A Collection of BM25 Algorithms in Python☆1,217Updated 10 months ago
- SGPT: GPT Sentence Embeddings for Semantic Search☆870Updated last year
- Enforce the output format (JSON Schema, Regex etc) of a language model☆1,867Updated this week
- Bringing BERT into modernity via both architecture changes and scaling☆1,473Updated last month
- Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'☆1,565Updated 6 months ago
- General technology for enabling AI capabilities w/ LLMs and MLLMs☆4,082Updated last month
- Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verifi…☆2,842Updated last week
- TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.☆2,832Updated 2 weeks ago
- Doing simple retrieval from LLM models at various context lengths to measure accuracy☆1,964Updated 11 months ago
- The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval☆1,346Updated 11 months ago
- Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs☆3,353Updated 2 months ago
- Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.☆2,537Updated this week
- This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai,…☆2,167Updated last year
- 🦙 Integrating LLMs into structured NLP pipelines☆1,296Updated 7 months ago
- Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali☆2,363Updated this week
- Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024☆2,229Updated this week
- Fast, Accurate, Lightweight Python library to make State of the Art Embedding☆2,281Updated this week
- HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels☆540Updated 8 months ago
- A comprehensive guide to building RAG-based LLM applications for production.☆1,816Updated last year
- A language for constraint-guided and efficient LLM programming.☆4,030Updated 2 months ago