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Agentic RAG

Agentic RAG is retrieval that can also call analytics tools. If the question needs a forecast or a cluster, the graph does not stop at documents.

The agent classifies the question, retrieves, grades chunks, and may invoke ML or query tools before it answers.

Grounding stays tied to retrieved evidence plus tool results, so the answer can cite both a paragraph and a model metric.

What this does for the business

  • Answer mixed questions (“why did churn spike, and who is next?”) in one workflow.
  • Avoid a separate retrieve-then-analyze handoff between teams.
  • Keep citations attached when the answer leaves the chat UI.

API

POST /api/langgraph/rag POST /api/langgraph/insights

Full reference: api.dsnresearch.com/docs

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