GitHub

Easily use and train state of the art retrieval methods in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

The main motivation of RAGatouille is simple: bridging the gap between state-of-the-art research and alchemical RAG pipeline practices. RAG is complex, and there are many moving parts. To get the best ...
IEEE

Prediction of Land Use and Land Cover (LULC) Changes for 2030 Using Time Series Data and Random Forest Algorithm

Abstract: This study predicts land use and land cover (LULC) changes in Karo District in 2030 using Sentinel-2 data and the Random Forest algorithm. LULC data from 2017 to 2023 was used to train the ...
IEEE

Distributed Group Coordination of Random Communication Constrained Cyber-Physical Systems Using Cloud Edge Computing

Abstract: This paper studied the distributed group coordinated control problem of cyber-physical systems (CPSs) with multi-agent architecture. We build the distributed networked multi-group agent ...