You can follow along with the instructions provided to easily test the functionalities of RisingWave using Python and the standalone version of RisingWave. All demos can be found within the awesome-stream-processing repository. Try out the following runnable demos in these different industries:Documentation Index
Fetch the complete documentation index at: https://docs.risingwave.com/llms.txt
Use this file to discover all available pages before exploring further.
Capital markets
Market data enhancement and transformation
Transform raw market data in real-time to provide insights into market trends, asset health, and trade opportunities.
Market and trade surveillance
Detect suspicious patterns, compliance breaches, and anomalies from trading activities in real-time.
E-commerce
Marketing campaign performance analysis
Analyze and optimize marketing campaign performance in real-time.
Sports betting
Risk and profit analysis in sports betting
Manage your sports betting positions in real-time by using RisingWave to monitor exposure and risk.
User betting behavior analysis
Identify high-risk and high-value users by analyzing and identifying trends in user betting patterns.
Logistics
Inventory management and demand forecast
Track inventory levels and forecast demand to prevent shortages and optimize restocking schedules.
RAG system
Building a RAG system on RisingWave
Establish a RAG system with RisingWave that answers questions based on the documentation.