Set up your RAG benchmark generation session. Autopilot's team of specialized AI agents will coordinate autonomously to map, generate, and evaluate your dataset.
Benchmark workspace label
Give your project a descriptive identifier. Stored in exported metadata and quality reports for trace audits.
Semantic vector ingestion
Instruct generation agents with natural prompts
Describe requirements like volume, concepts, and difficulty. Agents will map this blueprint to search vector facts and compile QA pairs.
The sequence of autonomous stages executed from raw document ingestion to the finished benchmark bundle. The Quality Evaluator audits samples and routes feedback back to the Generator for iterative refinement.
Launches the agent team to parse documentation, draft the category scope, generate candidate samples, evaluation metrics, and run self-repair loops.