Github Nhcloud Ai Query Visualizer The Ai Query Visualizer Showcases The ai query visualizer demo showcases how you can use openai gpt 4 to convert user prompts into kql queries and execute them against a log analytics workspace. The ai query visualizer demo showcases how you can use openai gpt 4 to convert user prompts into kql queries and execute them against a log analytics workspace.
How To Rank On Chatgpt 7 Steps To Boost Your Ai Visibility The ai query visualizer demo on github provides a hands on approach to using cutting edge technologies like openai's gpt 4, azure services, and semantic kernel to simplify this interaction. The ai query visualizer showcases how you can use openai gpt 4o to convert user prompts into kql queries and execute them against a log analytics workspace. it also supports sql (sql api) queries, offering powerful query capabilities from a simple user prompt. The document discusses an ai driven data querying and visualization tool that converts natural language prompts into kql or sql queries, allowing seamless integration with log analytics and cosmosdb. Recently, i shared an article on linkedin that explores the concept of transforming user prompts into actionable data queries with the help of ai powered tools. the article introduces the ai query visualizer demo available on github.
ёясл Introduction Ai Query The document discusses an ai driven data querying and visualization tool that converts natural language prompts into kql or sql queries, allowing seamless integration with log analytics and cosmosdb. Recently, i shared an article on linkedin that explores the concept of transforming user prompts into actionable data queries with the help of ai powered tools. the article introduces the ai query visualizer demo available on github. This workflow aims to provide data visualization capabilities to a native sql agent. together, they can help foster data analysis and data visualization within a team. Grafana dashboards from heatmaps to histograms, graphs to geomaps: fast and furious visualizations any way you want. Microsoft's ai toolkit extension is what makes this process so visual and straightforward (to me). it integrates directly into vs code so you can experiment with ai without context switching. to start using ai toolkit, first install the extension from the vs code marketplace. Sy navigation and quick access to actionable data. the core features of the platform will include interactive charts and graphs, allowing users to visualize data in multiple formats, apply filters, and adjust the display.
Comments are closed.