Technical Challenges

Scalability: Handling ever-growing datasets and ensuring efficient querying.
Performance: Maintaining low latency and high throughput for real-time applications.
Integration: Providing seamless integration with various ML frameworks and applications.
Security: Ensuring data privacy and secure access controls.
Use Cases
Recommendation Systems: Personalizing content based on user preferences and behavior.
Similarity Search: Finding similar items in large datasets, such as images or documents.
Natural Language Processing: Enhancing search engines and chatbots with semantic understanding.
Cybersecurity: Detecting anomalies and potential threats through pattern recognition.