Run 100+ RAG experiments in parallel, even on a single GPU

Show HN: Run 100+ RAG experiments in parallel, even on a single GPU

Run 100+ RAG experiments in parallel, even on a single GPU is a company in show hn launch.

Profile

Hey HN,We built RapidFire AI, an open-source framework that lets you compare dozens (or hundreds) of RAG and context engineering configurations in parallel, without needing a GPU cluster.Tuning a RAG pipeline means experimenting with chunk sizes, embedding models, retrieval strategies, reranking thresholds, prompt schemes, generator models, and more. With traditional tools, you run these sequentially, wait for each to finish on the full dataset, and then compare. That's painfully slow and wastes tokens/compute on configs you'd have killed after seeing the first 10% of results.RapidFire AI shards your eval dataset and schedules all configs one shard at a time, cycling through them with effici

Run 100+ RAG experiments in parallel, even on a single GPU is positioned in show hn launch, a segment that rewards a clear, focused offering.

Directory data places it at the Show HN launch stage.

Website: colab.research.google.com/github/RapidFireAI/rapidfi...We