Dify vs Flowise: Which LLM App Builder Survives Production?
Dify and Flowise compared after running both in production — orchestration model, RAG depth, self-hosting cost, API reuse and upgrade risk.
14 articles, newest first. If you know what job you need done, the three columns below are a faster route.
Dify and Flowise compared after running both in production — orchestration model, RAG depth, self-hosting cost, API reuse and upgrade risk.
LangChain optimises for agent chains and tool use; LlamaIndex optimises for ingestion and retrieval. Where each one actually saves you engineering time.
Measure first, then route, cache, shorten, batch, and quantize — a practical order of operations for cutting LLM spend without shipping worse output.
What Langfuse actually did for my LLM pipeline: trace capture, token accounting, online evals and self-hosting reality, including what I regret.