Put VCAL Semantic Cache server in front of your LLM application, RAG system, or agentic workflow. Repeated or similar prompts get answered from your private cache with millisecond latency. New prompts go to the model as usual — and VCAL Semantic Cache server learns them for next time.
Useful for repeated questions, RAG answers, support assistants, and agent steps such as routing, summarization, validation, and reuse.
Core engine is open source: vcal-core.
Production service is commercial: VCAL Semantic Cache.
VCAL follows an open-core model: the indexing engine is public and auditable, while the production server ships as signed binaries/containers for LLM applications, RAG systems, and agentic workflows.
High-performance Rust library for semantic caching. Embeddable and auditable.
Production-ready semantic cache service built on vcal-core. Adds observability, licensing, and support.
VCAL Semantic Cache is the production HTTP service built on vcal-core. It adds licensing, observability, and deployable artifacts for teams that need semantic reuse across LLM applications, RAG systems, and agentic workflows.
VCAL integrates as an HTTP semantic cache that your application or agent queries before calling the LLM. If a similar question, answer, or agent step was handled before, VCAL returns the cached answer immediately. Otherwise, your application calls the model and stores the result for future reuse.
VCAL integrates as a lightweight HTTP semantic cache in front of any LLM provider, application backend, or agent framework.
Reduce paid model calls, speed up repeated LLM and agentic workflows, keep answers inside your perimeter, and prove the ROI in dashboards.
Serve repeats from cache instead of paying your LLM again and again.
Lower tail latency on repeated questions — users feel the difference instantly.
Reuse repeated outputs from routing, summarization, validation, support, and internal assistant flows.
Run on-prem or in VPC. With VCAL Semantic Cache: metrics, snapshots, auth, and enterprise options.
Use the ROI calculator below. Jump to ROI.
Cache hit ratio, tokens saved, cost savings, answers cached, and requests number from a single-node VCAL Semantic Cache.
Estimate monthly savings assuming cache hits skip paid LLM calls in applications, RAG systems, or agentic workflows.
A 30-day evaluation is available through the CLI. Production licenses start from €9,900/year per environment. Enterprise deployments, security review, and MSP/reseller packaging are available by discussion.
Qualified MSPs, VARs, and integration partners can offer VCAL Semantic Cache as a managed AI cost-control service. Partner pricing, deployment support, and managed-service packaging are available on request.
VCAL Privacy Guard is available now. Security, Audit, and Compliance modules are planned for the broader VCAL Enterprise Guard stack.
Discuss partner pricing →No. Run VCAL Semantic Cache in your environment, point your application to it first, and measure hit rate, latency, and savings within days.
No. VCAL Semantic Cache runs on-prem or in your VPC. Your perimeter, your data.
Yes. VCAL Semantic Cache is model-agnostic. Keep using OpenAI, Anthropic, Ollama, Hugging Face, local models, or other providers.
No. Your application creates embeddings with the model or provider you choose, then sends vectors to VCAL for semantic lookup and reuse.
Yes. VCAL is useful when agents repeat similar prompts or outputs, such as routing, summarization, validation, internal Q&A, support responses, or reusable reasoning steps. Your application decides when to query VCAL and when to call the model.
The core engine, vcal-core, is open source. VCAL Semantic Cache is the production service with licensing, observability, signed releases, deployment artifacts, and support.
Contact VCAL for annual licensing, Privacy Guard pilots, enterprise deployment, security review, or MSP/reseller packaging.
