Technical terms explained clearly
A software development practice where code changes are automatically tested, integrated, and deployed to production.
A distributed computing paradigm that processes data closer to the source, reducing latency and bandwidth usage.
A deep learning model trained on vast text data that can understand and generate human-like text.
An AI architecture that enhances LLM responses by retrieving relevant context from external knowledge bases before generating answers.
A database optimized for storing and querying high-dimensional vector embeddings used in similarity search and AI applications.