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Written by Max Zeshut
Founder at Agentmelt · Last updated Sep 9, 2026
The process of finding and fetching relevant information from a knowledge base, database, or document store to provide context for an AI agent's response. Retrieval is the 'R' in RAG—without good retrieval, agents hallucinate or give generic answers. Retrieval quality depends on chunking strategy, embedding model, and index design.
See it as a workflow
Support Ticket Deflection WorkflowTrigger, steps, n8n nodes, guardrails and an importable template — plus what it costs to have it built.
Or skip the build
Workflows from $197/month, custom agents from $2,000.