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knowledge_catalog_discovery_agent

Search Google Cloud data assets using the Knowledge Catalog API.

94|45|Updated Nov 11, 2022
Search Tags:#semantic search#google cloud#data discovery#ai search#knowledge catalog
One-click install
npx skills add https://github.com/GoogleCloudPlatform/dataplex-labs --skill knowledge-catalog-discovery-agent
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: knowledge_catalog_discovery_agent
Source: https://github.com/GoogleCloudPlatform/dataplex-labs/tree/main/knowledge_catalog_discovery_agent
Command: npx skills add https://github.com/GoogleCloudPlatform/dataplex-labs --skill knowledge-catalog-discovery-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-adk, google-cloud-dataplex, google-api-core, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The Knowledge Catalog Discovery Agent addresses the challenge of finding and accessing relevant data assets in Google Cloud, making complex queries more manageable and efficient.

Core Features & Use Cases

  • Semantic Search & Analysis: Decomposes complex queries and generates multiple relevant search queries.
  • AI-powered Assistance: Enhances the search process by engaging with users and providing comprehensive answers.
  • Integration with Knowledge Catalog: Utilizes Knowledge Catalog Search API for finding and ranking the most relevant data entries.
  • Use Case: A user queries, "Show me the latest financial reports." The agent performs semantic analysis, generates queries, and retrieves the relevant entries from Knowledge Catalog.

Quick Start

Use the 'knowledge_catalog_discovery_agent' to search for a dataset by name in Google Cloud.

Frequently Asked Questions about knowledge_catalog_discovery_agent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use semantic search to find data assets in Google Cloud?▼

Semantic search in Google Cloud locates data assets by decomposing complex queries and generating multiple relevant search queries to find and rank entries in the Knowledge Catalog. It utilizes AI to analyze user intent and retrieve matching datasets based on the query context.

What is the best way to discover datasets in Knowledge Catalog using natural language?▼

The best way to discover datasets using natural language is using an AI-powered assistant that engages with users, decomposes complex queries, and utilizes the Knowledge Catalog Search API to retrieve and rank the most relevant data entries based on semantic analysis.

Do I need the Knowledge Catalog API and AI Platform services to run data discovery searches?▼

Yes, data discovery searches require the Knowledge Catalog API and AI Platform services for semantic search, query generation, and multi-search processing to assist in locating and understanding relevant datasets within Google Cloud.

How does AI-powered data discovery handle complex queries for financial reports?▼

AI-powered data discovery handles complex queries by performing semantic analysis on inputs like "Show me the latest financial reports," generating targeted search queries, and retrieving relevant entries from the Knowledge Catalog.

Can I use this semantic search approach to locate specific datasets by name in Google Cloud?▼

Yes, you can locate specific datasets by name in Google Cloud by utilizing the AI-powered search agent, which leverages the Knowledge Catalog Search API to find and rank the most relevant data entries based on your specific query.

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