Technical Glossary

Architecture pattern augmenting LLM prompts with relevant context retrieved dynamically from external vector databases.

Database engine specialized for indexing and performing fast nearest-neighbor similarity searches over vector embeddings.

Autonomous software loop leveraging an LLM as its core reasoning engine to observe environments, plan, and execute tool calls.

Mechanism enabling LLMs to emit structured JSON payload calls invoking external APIs, scripts, or database queries.

Agent prompting framework interleaving explicit step-by-step reasoning thoughts with action tool calls and observation inputs.

Control pattern decomposing high-level user tasks into DAG sub-goals executed sequentially or in parallel by subagents.

Agent self-correction loop evaluating tool outputs or generated code against criteria before returning final output.

Open client-server protocol standardizing how AI agents discover and invoke remote tools, resources, and prompts.

Architecture connecting multiple specialized subagents via a central router or swarm topology to solve complex tasks.

State persistence architecture dividing context into short-term working context, long-term vector memory, and episodic logs.