Cache Rig (Rust) in your voice assistant with Crowkis
Building voice assistants on Rig (Rust)? Add a semantic cache so latency-sensitive, repetitive spoken queries 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 voice assistants on Rig (Rust)? Add a semantic cache so latency-sensitive, repetitive spoken queries stop costing full price.
Building sales enablement tools on the Mistral SDK? Add a semantic cache so reps asking the same product questions stop costing full price.
Building SQL generation tools on LiteLLM? Add a semantic cache so the same schema questions and query shapes stop costing full price.
Building internal copilots on Semantic Kernel? Add a semantic cache so employees asking overlapping questions of the same knowledge base stop costing full price.
Building education tutors on LangChain? Add a semantic cache so students asking the same concepts thousands of times stop costing full price.
Natural-language cache invalidation (CINVALIDATE), purges entries whose meaning matches a plain-English instruction, previewing by default and only acting on COMMIT. Here's how Crowkis does it and why it matters for cost and safety.
CWHYEVICT explains the retention maths for an entry, recency, frequency, isolation, and cost, so eviction is auditable, not mysterious.
Two commands wrap your model call in an input and an output gate, prompt-injection scanning before, PII and toxicity scanning after. No second model, no egress.
Building knowledge base assistants on the Mistral SDK? Add a semantic cache so the same lookups across a team all day stop costing full price.
Building devops copilots on LiteLLM? Add a semantic cache so the same runbook and incident questions stop costing full price.
Building chatbots on Semantic Kernel? Add a semantic cache so high-volume conversational traffic that repeats constantly stop costing full price.
Building multi-agent systems on LangChain? Add a semantic cache so a swarm of agents asking overlapping questions stop costing full price.
Stale-while-revalidate (CSTALE), returns a cached answer past its TTL with a stale flag, so expiry is a snappy answer plus a refresh signal, not a cold miss. Here's how Crowkis does it and why it matters for cost and safety.
You don't always need a separate vector database to do retrieval. CDOC is a mini RAG store inside Crowkis, auto-chunking, metadata filtering, and optional cross-encoder reranking, sharing the cache's embedder.
CFLAG records a known-bad answer in the negative cache; CCHECKBAD catches every paraphrase of the question that would reproduce it.
Building research assistants on the Mistral SDK? Add a semantic cache so overlapping literature and summary questions stop costing full price.
Building API documentation bots on LiteLLM? Add a semantic cache so the same endpoint questions from every developer stop costing full price.
Building AI search on Semantic Kernel? Add a semantic cache so popular queries hit again and again stop costing full price.
Building voice assistants on LangChain? Add a semantic cache so latency-sensitive, repetitive spoken queries stop costing full price.
Semantic dedup (CDEDUP), folds near-duplicate answers into clusters and reports the memory reclaimed, best run as scheduled off-peak maintenance. Here's how Crowkis does it and why it matters for cost and safety.