Multi-AgentTool UseOrchestrationVertex AI
Multi-Agent Research System
A research automation platform where specialist agents collaborate to gather, synthesize, validate, and report on complex topics across multiple knowledge domains.
This project is currently in active development.
The Problem
Complex research tasks spanning multiple domains exceed the capabilities of any single model. Manual synthesis is slow, inconsistent, and impossible to scale across an organization.
The Solution
A multi-agent platform where specialist agents — search, synthesis, validation, reporting — are orchestrated by a central planner built with LangGraph on Vertex AI, enabling parallel and verifiable research workflows.
Architecture
01Orchestrator agent for task decomposition and planning
02Specialist subagents for search, synthesis, and validation
03Tool-use layer with web search and database access
04Cross-agent communication and shared memory state
05Structured report generation with confidence scoring
Results & Outcomes
Parallelized research workflows across multiple knowledge domains
Automated multi-source synthesis with cross-agent validation
Structured reports generated in minutes instead of hours
Confidence-scored outputs for downstream decision-making