Stage 01
Retrieve
Fetch relevant chunks from trusted sources based on query intent.
Agentic RAG adds planning and decision-making to retrieval-augmented generation, so systems can choose smarter retrieval paths and verify answers before responding.
Stage 01
Fetch relevant chunks from trusted sources based on query intent.
Stage 02
Inject the retrieved context into prompt state before generation.
Stage 03
Produce answers grounded in evidence instead of model memory alone.
Decides what to fetch first, when to reformulate a query, and how deep retrieval should go.
Chooses retrieval strategy per question: semantic, keyword, hybrid, or tool-assisted.
Calls calculators, APIs, and domain systems when static documents are not enough.
Validates claims, cites sources, and retries when confidence falls below threshold.
Design retrieval that can reason about missing context, recover gracefully, and prove where every answer came from.