Evaluation of BEIR Datasets using ColBERT retrieval model
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Updated
Mar 4, 2022 - Python
Evaluation of BEIR Datasets using ColBERT retrieval model
An easy-to-use python toolkit for flexibly adapting various neural ranking models to any target domain.
Tree-based indexes for neural-search
A list of multi-vector retrieval resources
Open source ColBERT based document database
Neural Search
Vector Space Model implementation for document retrieval, along with several metrics
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Code for ArXiv CS RAG Huggingface Space: Generate scientific paper abstract embeddings using ColBERTv2 and ask questions
Index GitHub repositories to ColBERT models and serve them with GRPC or FastAPI
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.
Efficient Retrieval Augmentation and Generation Framework
Vector Database with support for late interaction and token level embeddings.
Efficient late-interaction retrieval systems in Julia!
Late Interaction Models Training & Retrieval
ColBERT humor dataset for the task of humor detection, containing 200,000 jokes/news
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