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Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of …
🦜✨ Chat system and reusable components to improve LLMs capabilities when generating SPARQL queries
A collection of open source tools and resources related to Wikibase knowledge graphs
This repo contains code and a pre-trained model for clothes segmentation.
A collection of resources, links and knowlegde related to Wikibase, curated by KB, national library of the Netherlands
WikiRag is a Retrieval-Augmented Generation (RAG) system designed for question answering, it reduces hallucination thanks to the RAG architecture. It leverages Wikipedia content as a knowledge base.
An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.
Library implementation of "No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations"
Repository for the data in the paper "Explain Me the Painting: Multi-TopicKnowledgeable Art Description Generation".
Fast Entity Linker Toolkit for training models to link entities to KnowledgeBase (Wikipedia) in documents and queries.
Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget (ACL 2024)
Library for Knowledge Intensive Language Tasks
Publicly accessible dataset for the Fashion Calendar Research Database
Reading Wikipedia to Answer Open-Domain Questions
MediaWiki extension that adds support for local media files to Wikibase via a new data type.
[NeurIPS'23] Emergent Correspondence from Image Diffusion
Python API for Fashionpedia Dataset
Getting started with Ollama for Python - a short tutorial for setting up Ollama for Python
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
⏰ AI conference deadline countdowns
The MEETUPS knowledge graph contains data about historical encounters of people in the musical world in Europe from c. 1800 to c. 1945.