rag-implementation - RAG Implementation Workflow for Building AI Systems
Implement RAG systems with embedding selection, vector database setup, chunking strategies, and retrieval optimization
Tags
Updated: 2026-03-09Typical Inputs
Typical Outputs
What this skill does
- define use case
- select embedding model
- setup vector database
- implement chunking strategy
- configure hybrid search
Inputs
- AI product requirements
- data sources
- embedding models
- vector database
- LLM provider
Outputs
- RAG system design
- vector database schema
- chunked documents
- search implementation
- evaluation metrics
Requirements
- AI product definition
- embedding models available
- vector database access
- LLM integration