Unstructured Product Build LLM Agent
Transform raw data into intelligent data products, effortlessly.
Publisher
Accenture
Product Details
This agent generates Python code to create data products from unstructured data. It operates without human intervention, producing code quickly and accurately.
It is part of a solution that helps enterprises build intelligent data products from multimodal sources, including unstructured text, structured records, audio transcripts, and video content. An orchestrator agent manages specialized super agents that extract, interpret, and transform each data type with domain-specific AI models, while utility agents handle metadata generation, contextual tagging, data mapping, and final packaging. The approach removes manual effort, breaks down data silos, accelerates time to insight, and supports downstream use in analytics, search, compliance, and AI training. Agents access data through custom Python tools from Google Cloud Storage.
Key Use Cases
Automated Multimodal Pipeline Generation
Generates production-grade Python code to parse, transform, and tag unstructured audio and video files directly from Google Cloud Storage into searchable datasets.
Metadata Tagging for Enterprise Knowledge Bases
Orchestrates utility agents that automatically extract context and generate normalized schemas from legacy unstructured documents for downstream analytics.
Explore detailed deployment path
Requires Gemini. Access integration prerequisites, specialized agent configuration guides, and implementation documentation.