📊 Cube’s universal semantic layer platform is the next evolution of OLAP technology for AI, BI, spreadsheets, and embedded analytics
MetricFlow allows you to define, build, and maintain metrics in code.
#大语言模型#Synmetrix – production-ready open source semantic layer on Cube
#大语言模型#🤖 The Semantic Engine for Model Context Protocol(MCP) Clients and AI Agents 🔥
Metrics Observability & Troubleshooting
Make sense of it all. Semantic data modeling and analytics with a sprinkle of AI. https://totalhack.github.io/zillion/
#自然语言处理#Construct knowledge graphs from unstructured data sources, use graph algorithms for enhanced GraphRAG with a DSPy-based chat bot locally, and curate semantics for optimizing AI app outcomes within a s...
An open-source Text2SQL tool that transforms natural language into SQL using graph-powered schema understanding. Ask your database questions in plain English, QueryWeaver handles the weaving.
Open-source repository for Semantic Modeling Language (SML)
This repo contains an end-to-end analytics engineering project within the marketing domain. Utilisation of DBT semantic layer is introduced in this project to standardize metrics definition that will ...
#大语言模型#A proof-of-concept Flask app that converts natural language to SQL queries based a simple semantic model.
A Model Context Protocol (MCP) server that provides MetricFlow CLI tools
GameTuner Query Engine is responsible for executing the queries that are built from API requests.
Provides a powerful semantic layer based on Exasol Virtual Schema
Analytics Engineering assignment for FedEx using dbt, cube.dev, and Superset
AI-powered MuleSoft API platform enabling 10-minute grid recovery for utilities. Integrates SCADA, weather, DER, and field systems with autonomous agent coordination. -15M annual ROI through 85% outag...