agentic-rag-development

What problem does it solve?

Building advanced retrieval-augmented generation systems that combine multi-agent workflows, vector search, and knowledge graphs requires significant custom development and ongoing optimization, which this Skill streamlines with proven patterns and best practices.

Core Features & Use Cases

• Multi-Agent Orchestration: Design and coordinate specialized agents for query understanding, data retrieval, and response generation with built-in error handling and fallbacks.
• Hybrid Search & Knowledge Graphs: Implement combined vector and keyword search, plus knowledge graph integration for entity relationship analysis and more accurate context retrieval.
• Use Case: For example, use this Skill to build a customer support assistant that pulls relevant product documentation, user ticket history, and related entity data to generate accurate, sourced responses to user queries.

Quick Start

Use the agentic-rag-development skill to build a multi-agent RAG pipeline that retrieves relevant document chunks and knowledge graph entities to answer user queries about your internal product documentation.