RapidCore AI

What is RapidCore AI?

RapidCore AI is an Enterprise RAG (Retrieval-Augmented Generation) platform that connects large language models to your company’s internal knowledge — documents, databases, and systems — so every AI-generated answer is grounded in your actual data.

What is RAG and why does it matter?

RAG (Retrieval-Augmented Generation) is an AI architecture that retrieves relevant information from your data before generating a response. This dramatically reduces hallucinations and ensures answers are accurate, traceable, and grounded in real sources.

How does RapidCore integrate with my existing systems?

RapidCore connects to your data wherever it lives — SharePoint, Confluence, S3, databases, APIs, and more — through pre-built connectors and flexible APIs. Integration typically takes days, not months.

What types of data can RapidCore ingest?

PDFs, Word documents, spreadsheets, emails, Slack messages, Confluence pages, SharePoint files, SQL databases, APIs, and custom data sources. RapidCore handles structured and unstructured data alike.

Is RapidCore AI secure?

Yes. RapidCore is SOC2 and GDPR compliant with encryption at rest and in transit, role-based access controls, full audit trails, and data residency options. Your data is never used to train models.

How does RapidCore prevent hallucinations?

Through advanced chunking strategies, semantic re-ranking, and strict citation tracking. Every response includes references to source documents, so users can verify accuracy.

How can I get started?

Reach out for a demo. We’ll assess your data landscape, configure connectors, and deploy a production-ready RAG system — typically within one to two weeks.