kb-bench

Head to head

Every platform on this site was measured in the same run, so any two of them can be compared without adjusting for hardware, documents or embedding model. These pages do that for the pairings buyers actually weigh.

How to read these

Each page opens with the answer, then shows the measurements behind it and computes which platform won each row from the data rather than asserting it. Where a figure is unreliable — a latency number distorted by a background queue, a rate covering only part of the corpus — the page says so instead of quietly using it.

Dify vs RAGFlow

RAGFlow retrieved five points better and holds a permissive licence; Dify starts thirteen times faster on a quarter of the memory.

FastGPT vs Dify

Both retained every planted fact and ingested the whole corpus. FastGPT retrieved six points more; Dify starts six times faster and holds less memory.

FastGPT vs RAGFlow

Near-identical accuracy on both dimensions. The decision is memory and licence: RAGFlow needs three times the RAM, and is the only one of the two you may resell.

A pairing you will not find here

Flowise appears on the ranking with deployment figures only. Its current published image does not start, and the open-source build offers no way to obtain an API credential without a browser, so there is nothing to compare it against on retrieval or parsing. The platform page sets out both findings.