Multi-agent system

A multi-agent system uses several AI agents with different roles that collaborate on a task.

Written by Reflective Data experts · updated Oct 5, 2026

For example, one agent plans, another retrieves data and a third reviews the result. Splitting roles can improve quality on complex work, at the cost of more complexity and expense.

Start with a single well-built agent before adding more.

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AI evaluations (evals)

AI evaluations are tests that measure how well an AI system performs on realistic tasks.

function-calling.md

Function calling (tool use)

Function calling lets a language model request that your code run a defined tool, such as…

gemini.md

Gemini

Gemini is Google family of AI models and assistant, available across Google products and through APIs.

text-to-sql.md

Text-to-SQL

Text-to-SQL is using AI to turn a plain-language question into a SQL query.

semantic-search.md

Semantic search

Semantic search finds results by meaning rather than exact keywords.

ai-guardrails.md

AI guardrails

Guardrails are the rules and checks that keep an AI system within safe and intended behaviour.

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