Cache Ollama in your sales enablement tool with Crowkis
Building sales enablement tools on Ollama? Add a semantic cache so reps asking the same product 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 sales enablement tools on Ollama? Add a semantic cache so reps asking the same product questions stop costing full price.
Building SQL generation tools on Semantic Kernel? Add a semantic cache so the same schema questions and query shapes stop costing full price.
Building internal copilots on LangGraph? Add a semantic cache so employees asking overlapping questions of the same knowledge base stop costing full price.
Add a semantic cache to CrewAI so repeated and reworded questions are served for free, no rewrite, self-hosted.
Point your existing OpenAI client at Crowkis and change nothing else. The gateway proxies /v1/chat/completions, serves semantic hits without an upstream call, and adds retries, routing, and rate limits.
Most self-hosted breaches are defaults, not exploits. Crowkis inverts the failure direction: forget to configure auth and you get a locked deployment, not an open one.
Building email drafting tools on LangChain.js? Add a semantic cache so similar drafts requested over and over stop costing full price.
Building knowledge base assistants on Ollama? Add a semantic cache so the same lookups across a team all day stop costing full price.
Building devops copilots on Semantic Kernel? Add a semantic cache so the same runbook and incident questions stop costing full price.
Building chatbots on LangGraph? Add a semantic cache so high-volume conversational traffic that repeats constantly stop costing full price.
Durable, per-user memory for CrewAI agents that survives restarts and consolidates contradictions, self-hosted, zero egress.
One similarity threshold for all traffic is how caches embarrass themselves. Crowkis classifies every query into one of twelve intents, each with its own rules of reuse.
Shipping times, return windows, size guides, 'does this come in blue?', commerce traffic is seasonal, spiky, and gloriously repetitive. Cache accordingly.
Building code review bots on LangChain.js? Add a semantic cache so the same review patterns across pull requests stop costing full price.
Building research assistants on Ollama? Add a semantic cache so overlapping literature and summary questions stop costing full price.
Building API documentation bots on Semantic Kernel? Add a semantic cache so the same endpoint questions from every developer stop costing full price.
Building AI search on LangGraph? Add a semantic cache so popular queries hit again and again stop costing full price.
Add a semantic cache to AutoGen so repeated and reworded questions are served for free, no rewrite, self-hosted.
Embeddings usually mean an API key and a per-token bill. CEMBED turns text into vectors using the bundled ONNX model, locally, for free, and caches repeats so the second call is instant.
Providers have incidents; your product doesn't have to. Health-aware backend routing plus a warm cache turns upstream outages into degraded modes users barely notice.