Systems
8 entries in this category.
AI Agents & Agentic Workflows
Autonomous or semi-autonomous AI systems designed to achieve specific goals by planning, reasoning, and using tools to take actions in digital environments.
Retrieval-Augmented Generation (RAG)
A technique that augments model responses with retrieved context from trusted data sources.
Vector Database
A database optimized to store and search vector embeddings for similarity-based retrieval.
Grounding
The practice of tying an AI model’s responses directly to verifiable, factual data sources (like a company database or web search) to prevent hallucinations.
Inference
The process of running live data through a trained machine learning model to make a prediction or generate an output.
Semantic Search
A search technique that aims to understand the user’s intent and the contextual meaning of terms, rather than relying on exact keyword matches.
API
A set of rules and protocols that allows different software applications to communicate with each other.
Function Calling (Tool Use)
A capability that allows LLMs to invoke structured external tools or APIs mid-conversation, enabling reliable real-world actions and grounded data retrieval.