glossary
Glossary
Canonical AI engineering definitions: orchestration, multi-agent systems, RAG, context, embeddings, vector search, speech recognition, document extraction.
- AI Orchestration
- Control of step ordering, branching, state and fault tolerance in an AI workflow.
- Context Engineering
- The discipline of controlling which context, in what volume and at what priority is supplied to an AI-workflow step.
- Document Data Extraction
- AI document processing as a step in a governed workflow: OCR, LLM extraction, classification, rule-based reconciliation, and human review.
- Embeddings
- Numerical representations of text, images and other objects that power semantic search and similarity comparison.
- Multi-agent System
- A distributed workflow of agents with roles, message contracts and explicit coordination.
- RAG Architecture
- Context infrastructure: sources, event-driven indexing, retrieval with re-ranking, context supply and quality evaluation.
- Speech Recognition and Synthesis (STT/TTS)
- Voice as an input/output channel for an AI system: speech-to-text and text-to-speech, latency budget, barge-in handling.
- Vector Search (ANN)
- Nearest-neighbor search in embedding space: HNSW/IVF indexes, metadata filtering, how it differs from classical exact-match search.