Databricks built a RAG agent it says can handle every kind of enterprise search

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
IEEE

From Queries to Understanding: Designing the Next-Generation Search Engine

Abstract: Imagine typing a question into a search engine and getting not just a list of blue links, but a thoughtful, accurate answer that understands exactly what you need. From queries to ...
IEEE

A Hybrid GCN-BERT Model for Mathematical Expression and Text-Based Query Retrieval Using Similarity Measurement

Abstract: Mathematical expressions play a crucial role in scientific literature, making effective retrieval and similarity measurement essential. This study presents a novel retrieval mechanism that ...