Cache Flowise in your onboarding assistant with Crowkis
Building onboarding assistants on Flowise? Add a semantic cache so every new hire asking the same first questions stop costing full price.
Notes from the nest · 980 posts
Engineering notes written by the people building Crowkis. Comparisons, use cases, economics, internals, security, operations, and nothing written just to rank.
Building onboarding assistants on Flowise? Add a semantic cache so every new hire asking the same first questions stop costing full price.
Building coding assistants on the Gemini SDK? Add a semantic cache so the same explanations and boilerplate reasoning, dozens of times a day stop costing full price.
Building healthcare Q&A assistants on the Vercel AI SDK? Add a semantic cache so recurring policy and triage questions stop costing full price.
Building code review bots on AutoGen? Add a semantic cache so the same review patterns across pull requests stop costing full price.
exact-match caching is byte-for-byte key-value caching. Here's how it compares to Crowkis on the things that decide production outcomes: safe reuse, isolation, cost control.
Building meeting-notes summarizers on Flowise? Add a semantic cache so similar summaries requested repeatedly stop costing full price.
Building RAG document search on the Gemini SDK? Add a semantic cache so the same questions re-running retrieval over the same corpus stop costing full price.
Building legal document assistants on the Vercel AI SDK? Add a semantic cache so the same clauses and questions across matters stop costing full price.
Building data analysis agents on AutoGen? Add a semantic cache so repeated tool calls and the same analytical questions stop costing full price.
building your own cache is a hand-rolled semantic cache. Here's how it compares to Crowkis on the things that decide production outcomes: safe reuse, isolation, cost control.
Building SQL generation tools on Flowise? Add a semantic cache so the same schema questions and query shapes stop costing full price.
Building internal copilots on the Gemini SDK? Add a semantic cache so employees asking overlapping questions of the same knowledge base stop costing full price.
Building education tutors on the Vercel AI SDK? Add a semantic cache so students asking the same concepts thousands of times stop costing full price.
Building HR assistants on AutoGen? Add a semantic cache so the same policy questions from every employee stop costing full price.
no cache at all is paying full price for every call. Here's how it compares to Crowkis on the things that decide production outcomes: safe reuse, isolation, cost control.
Building devops copilots on Flowise? Add a semantic cache so the same runbook and incident questions stop costing full price.
Building chatbots on the Gemini SDK? Add a semantic cache so high-volume conversational traffic that repeats constantly stop costing full price.
Building multi-agent systems on the Vercel AI SDK? Add a semantic cache so a swarm of agents asking overlapping questions stop costing full price.
Building IT helpdesk bots on AutoGen? Add a semantic cache so the same tickets and fixes, endlessly stop costing full price.
Prompt caching in 2026: what it is and why it matters. A practical, Crowkis-grounded take, no hype, just what actually moves cost, latency, and safety.