A RetroSearch Logo

Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Search Query:

Showing content from https://github.com/Canner/WrenAI below:

Canner/WrenAI: ⚡️ GenBI (Generative BI) queries any database in natural language, generates accurate SQL (Text-to-SQL), charts (Text-to-Chart), and AI-powered insights in seconds.

Wren AI - Open-Source GenBI Agent

Wren AI is your GenBI Agent, that you can query any database with natural language → get accurate SQL(Text-to-SQL), charts(Text-to-Charts) & AI-generated insights in seconds. ⚡️

new-asking-flow.mp4 Wren.BI.Reports.mov What you get Why it matters Talk to Your Data Ask in any language → precise SQL & answers Slash the SQL learning curve GenBI Insights AI-written summaries, charts & reports Decision-ready context in one click Semantic Layer MDL models encode schema, metrics, joins Keeps LLM outputs accurate & governed Embed via API Generate queries & charts inside your apps (API Docs) Build custom agents, SaaS features, chatbots (Streamlit Live Demo)

🤩 Learn more about GenBI

Using Wren AI is super simple, you can set it up within 3 minutes, and start to interact with your data!

👉 Learn more about our Design

If your data source is not listed here, vote for it in our GitHub discussion thread. It will be a valuable input for us to decide on the next supported data sources.

Wren AI supports integration with various Large Language Models (LLMs), including but not limited to:

Check configuration examples here!

Caution

The performance of Wren AI depends significantly on the capabilities of the LLM you choose. We strongly recommend using the most powerful model available for optimal results. Using less capable models may lead to reduced performance, slower response times, or inaccurate outputs.

Visit Wren AI documentation to view the full documentation.

Subscribe our blog and Follow our LinkedIn

  1. Star ⭐ the repo to show support (it really helps).
  2. Open an issue for bugs, ideas, or discussions.
  3. Read Contribution Guidelines for setup & PR guidelines.

Please note that our Code of Conduct applies to all Wren AI community channels. Users are highly encouraged to read and adhere to them to avoid repercussions.

⬆️ Back to Top


RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4