Cache LangChain in your ecommerce assistant with Crowkis
Building ecommerce assistants on LangChain? Add a semantic cache so the same product and policy questions across shoppers 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 ecommerce assistants on LangChain? Add a semantic cache so the same product and policy questions across shoppers stop costing full price.
Golden answer pinning (CPIN), serves a human-approved answer verbatim for any phrasing of a question, with an audit trail of who approved it. Here's how Crowkis does it and why it matters for cost and safety.
CTHINK stores a reasoning trace as a reusable step graph; CREUSE fetches the matching plan for a new query at a fraction of the token cost.
The memory commands from application code, store facts, recall them semantically, and watch consolidation retire the stale ones. A worked example in Python.
Building education tutors on Rig (Rust)? Add a semantic cache so students asking the same concepts thousands of times stop costing full price.
Building HR assistants on the Mistral SDK? Add a semantic cache so the same policy questions from every employee stop costing full price.
Building onboarding assistants on LiteLLM? Add a semantic cache so every new hire asking the same first questions stop costing full price.
Building coding assistants on Semantic Kernel? 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 LangChain? Add a semantic cache so recurring policy and triage questions stop costing full price.
Negative / anti-hallucination cache (CFLAG), records known-bad answers so every paraphrase of the question that would reproduce a hallucination is caught. Here's how Crowkis does it and why it matters for cost and safety.
CSTALE returns a cached answer even past its TTL, flagged as stale, so an expired entry is a snappy answer plus a refresh signal, not a cold miss.
A semantic cache hit isn't free, it has to embed your query first. We measured every operation's percentiles so you know exactly what you're paying for, and where the cache engine itself is microsecond-fast.
Building multi-agent systems on Rig (Rust)? Add a semantic cache so a swarm of agents asking overlapping questions stop costing full price.
Building IT helpdesk bots on the Mistral SDK? Add a semantic cache so the same tickets and fixes, endlessly stop costing full price.
Building meeting-notes summarizers on LiteLLM? Add a semantic cache so similar summaries requested repeatedly stop costing full price.
Building RAG document search on Semantic Kernel? Add a semantic cache so the same questions re-running retrieval over the same corpus stop costing full price.
Building legal document assistants on LangChain? Add a semantic cache so the same clauses and questions across matters stop costing full price.
Answer lineage and cascade purge (CSOURCE), ties answers to their source so that when a document changes, every answer built on it can be purged in one move. Here's how Crowkis does it and why it matters for cost and safety.
Prompts are production logic edited like sticky notes. CPROMPT gives them named templates, automatic versioning, rollback, variable rendering, and sticky weighted A/B splits, all surviving restart.
CINVALIDATE clears entries whose meaning matches a natural-language instruction, and previews exactly what it would remove until you add COMMIT.