A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
-
Updated
Jul 28, 2024 - Python
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Efficient Retrieval Augmentation and Generation Framework
🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite
Neural Search
Late Interaction Models Training & Retrieval
An easy-to-use python toolkit for flexibly adapting various neural ranking models to any target domain.
Tree-based indexes for neural-search
Evaluation of BEIR Datasets using ColBERT retrieval model
Index GitHub repositories to ColBERT models and serve them with GRPC or FastAPI
Open source ColBERT based document database
This is the Information Retrieval 2023-2024 fall semester CEID course project.
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.
Vector Space Model implementation for document retrieval, along with several metrics
Add a description, image, and links to the colbert topic page so that developers can more easily learn about it.
To associate your repository with the colbert topic, visit your repo's landing page and select "manage topics."