Learn how to develop custom AI using Cheshire Cat, which provides the necessary framework and codebase to simplify the development process. The tool is based on Azure and OpenAI, and includes a vector database and several chatGPT services... read more  

AWS has launched a new capability that significantly improves face search accuracy by leveraging multiple face images of a user... read more  

To become a systems engineer, start by questioning the things you see and researching their origins. Develop hypotheses, refine them with new data over time, and create working models. When something breaks, your accumulated knowledge may help you recognize the issue and fix it. Some will appreciate.. read more  

Monitoring and logging in complex systems like Kubernetes are challenging. Logs are often unreliable and expensive, while metrics offer better scalability and reliability. However, implementing effective metrics and alerting platforms requires careful design and consideration of scalability options... read more  

Koho's event data pipeline handles schema evolution. The catalog service maintains a history of schema evolution, the ingestion service consumes multiple event versions, multiple table versions are maintained, and users can query them via a view or ad hoc query. This approach ensures data consumers .. read more  

Vector databases are increasingly popular for storing, managing, and retrieving high-dimensional data like user preferences or genetic sequences. They're essential for similarity search, recommendation systems, semantic search, and personalized marketing. Some popular vector database platforms inclu.. read more  

Microsoft and NetApp have co-authored a technical blog post explaining a reference architecture for provisioning SMB file shares for Windows containers on Azure Kubernetes Service (AKS).. read more  

As FreeBSD marks three decades of success, we can thank open source freedom, a strong culture, a shared leadership model, modern development practices, and robust code that continues to evolve... read more  

A new query engine called SQLAutoVectorQueryEngine combines structured data from SQL databases and unstructured data from vector databases to fulfill complex natural language queries. It leverages the expressivity of SQL for structured data and semantic search for unstructured data. This engine allo.. read more  

The trend towards ephemeral environments for testing and deployment is gaining popularity for its flexibility and reduced maintenance costs. Kubernetes and infrastructure-as-code tools can help create and manage ephemeral environments, although some upfront investment in technical expertise may be r.. read more