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#

colbert

Here are 22 public repositories matching this topic...

beir

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

  • UpdatedFeb 25, 2025
  • Python
fastRAG

Use late-interaction multi-modal models such as ColPali in just a few lines of code.

  • UpdatedJan 28, 2025
  • Python

Late Interaction Models Training & Retrieval

  • UpdatedMar 19, 2025
  • Python

ColBERT humor dataset for the task of humor detection, containing 200,000 jokes/news

  • UpdatedOct 2, 2024
  • Jupyter Notebook

An easy-to-use python toolkit for flexibly adapting various neural ranking models to target domain.

  • UpdatedMay 17, 2023
  • Python

Vector Database with support for late interaction and token level embeddings.

  • UpdatedSep 30, 2024
  • C++

Tree-based indexes for neural-search

  • UpdatedMar 4, 2024
  • Python

Evaluation of BEIR Datasets using ColBERT retrieval model

  • UpdatedMar 4, 2022
  • Python

Efficient late-interaction retrieval systems in Julia!

  • UpdatedMar 19, 2025
  • Julia

A list of multi-vector retrieval resources

  • UpdatedMay 29, 2024

Index GitHub repositories to ColBERT models and serve them with GRPC or FastAPI

  • UpdatedAug 15, 2024
  • Python

Open source ColBERT based document database

  • UpdatedJun 6, 2024
  • Python

This is the Information Retrieval 2023-2024 fall semester CEID course project.

  • UpdatedOct 29, 2024
  • Python

Code for ArXiv CS RAG Huggingface Space: Generate scientific paper abstract embeddings using ColBERTv2 and ask questions

  • UpdatedAug 15, 2024
  • Jupyter Notebook

A demonstration of hybrid search with reranking using Qdrant and BGE-M3 model. A showcase of dense and sparse retrieval combined with ColBERT reranking for optimal search results

  • UpdatedMar 17, 2025
  • Jupyter Notebook

This project involves creating an inverted index for a text collection, implementing a Vector Space Model (VSM) with custom weighting methods, applying the pre-trained colBERT model for semantic query handling, and comparing the performance of the developed models using two evaluation metrics implemented from scratch.

  • UpdatedSep 17, 2024
  • Jupyter Notebook

This app is a personalized music recommendation system that uses a Retrieval-Augmented Generation (RAG) framework, leveraging Spotify's API, LangChain, ChromaDB, and ColBERT embeddings to create playlists based on user mood and preferences.

  • UpdatedAug 26, 2024
  • Python

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