Vstorm builds enterprise-grade RAG and agentic applications with LlamaIndex and LlamaParse — from PoC to production deployment with ongoing optimization. Delivered by our team that has shipped 30+ LLM projects since 2017.
LlamaIndex is an open-source data framework that connects large language models to private, domain-specific data through ingestion, indexing, retrieval, and agent orchestration. Rather than relying on what the model learned during training, LlamaIndex lets organizations ground AI applications in their own documents, databases, and knowledge sources — enabling accurate retrieval, agentic reasoning, and reliable AI workflows over the messy real-world content their business actually runs on.
LlamaIndex addresses the upstream half of this problem: turning unstructured enterprise content into high-quality, retrievable context that AI agents can actually use.
A 30-minute call is usually enough to scope your use case and recommend the right entry point.
Five engagement phases — from validating feasibility to running optimized pipelines in production. Pick the entry point that matches where you are today.
Validate feasibility and effectiveness of a LlamaIndex-based solution against your real-world documents.
Assess where LlamaIndex fits within your broader AI and data strategy before any code is written.
Translate validated requirements into a production-ready blueprint with timelines and dependencies.
Build, integrate, and deploy a fully operational LlamaIndex-powered solution in your environment.
Maintain and improve system performance as your document landscape and use cases evolve.
We'll tell you in one call whether LlamaIndex is the right tool — and what it would take to ship it.
We've been building production LLM systems since 2017. We know which decisions in a LlamaIndex pipeline matter, and which ones can wait.
Deep expertise deploying LlamaIndex, LlamaParse, and adjacent document intelligence tools across enterprise RAG, agent, and extraction pipelines. Our 25 AI specialists deliver custom, scalable solutions tailored to complex document workflows.
We combine LlamaIndex with a curated stack of ingestion, retrieval, and orchestration tools — LlamaParse, vector databases, and custom evaluation frameworks — for accurate, efficient solutions on every project.
Full support from consultation and proof of concept through deployment, monitoring, and ongoing optimization — ensuring scalable, secure, and future-ready document processing pipelines.
What teams typically ask before starting a LlamaIndex engagement.
Whether you're validating a use case, scaling a pilot, or replacing a brittle OCR pipeline, our team can help you move from concept to production with confidence.