CoSupport AI
What is Fleak?
Fleak is a cutting-edge, low-code serverless platform designed for data teams to build and deploy scalable APIs efficiently. The platform excels in handling real-time data processing and AI workflow orchestration, processing up to 10,000 events per second while maintaining cost-effectiveness compared to traditional solutions like Apache Flink.
The platform provides comprehensive integration capabilities with large language models, databases, and essential tools, enabling seamless connections between SQL, AWS Lambda, and vector databases like Pinecone. Its serverless architecture eliminates infrastructure management concerns while ensuring high performance, scalability, and security for production-grade deployments.
Features
- Serverless Infrastructure: Build and run applications without managing servers
- AI Orchestration: Seamless integration with multiple LLMs and low latency performance
- Universal Storage Compatibility: Integration with Cloud Data Warehouses and Lakehouses
- Production Ready Deployment: HTTP API Endpoints with high reliability and security
- Real-time Processing: Handles up to 10,000 events per second
- Low-code Interface: Visual workflow builder for quick deployment
- Multi-format Support: Handles JSON, SQL, CSV, and Plain Text data
- Performance Monitoring: Real-time tracking and analytics tools
Use Cases
- Social media personality analysis
- Product recommendation customization
- Slack history chatbot creation
- Data embedding and storage in Pinecone
- LLM response enhancement with RAG
- Sentiment analysis across datasets
FAQs
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How does Fleak handle data storage?
Fleak provides universal storage compatibility, integrating with various Cloud Data Warehouses and Lakehouses, offering flexible storage solutions for different data workflows. -
Can Fleak handle real-time data processing?
Yes, Fleak can process up to 10,000 events per second, making it suitable for real-time data processing applications. -
What types of data formats does Fleak support?
Fleak supports multiple data formats including JSON, SQL, CSV, and Plain Text, allowing for versatile data handling and transformation.
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