Name: LLM Integration Lab
Author: MySimulator

Query

Documents to retrieve (k): 2

Each mock document is scored against the query by keyword-overlap similarity (a simplified stand-in for cosine similarity between real embedding vectors). Only the top-k highest-scoring documents get injected into the prompt as grounding context.

Result

Top retrieved score—

Estimated groundedness—

Corpus — bold border = retrieved into context