Details
Forrester AI uses a retrieval-augmented generation (RAG) architecture to scan Forrester's internal research library—reports, blog posts, and data—and produce concise, cited answers in natural language via a chat interface. The AI receives a text query from the client, retrieves the most relevant Forrester research passages, and outputs a synthesized response with traceable links back to source reports. Forrester has stated it does not use client prompts or responses to train its models. By March 2026, client usage was up 55% year-over-year and prompt volume had grown 65%.
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