A KDB.AI MCP (Model Context Protocol) Server that enables interaction with KDB.AI through natural language for seamless vector database operations, vector similarity searches, hybrid search operations ...
Multilingual Query-by-Example Keyword Spotting with Metric Learning and Phoneme-to-Embedding Mapping
Abstract: In this paper, we propose a multilingual query-by-example keyword spotting (KWS) system based on a residual neural network. The model is trained as a classifier on a multilingual keyword ...
This project implements a Model Context Protocol (MCP) server designed specifically to interact with Amazon Redshift databases. It bridges the gap between Large Language Models (LLMs) or AI assistants ...
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