GitHub

MODE: Mixture of Document Experts for RAG

MODE (Mixture of Document Experts) is an advanced framework that improves Retrieval-Augmented Generation (RAG) by integrating external knowledge retrieval with a mixture of specialized expert models.
IEEE

UCIS-X: An Updatable Compact Indexing Scheme for Efficient Extensible Markup Language Document Updating and Query Evaluation

Abstract: One of the difficulties faced when using XML as the data storage structure is query inefficiency. Therefore, various indexing methods have been proposed. When designing indexing methods, the ...
IEEE

Semantic query expansion and context-based discriminative term modeling for spoken document retrieval

Abstract: In this paper, we propose a semantic query expansion approach by extending the query-regularized mixture model to include latent topics and apply it to spoken documents. We also propose to ...
GitHub

Java Client for Data API

A Java client for DataStax Astra DB. This client library provides a simplified way to interact with the Data API for Astra DB Serverless, Hyper-Converged Database (HCD), or local instances. Client ...