Enterprise RAG That
Actually Understands Your Business
RapidCore AI connects your LLMs to your company’s entire knowledge base — documents, databases, and internal systems — so every answer is grounded in your data, not hallucinations.
Powered by the Best in AI Infrastructure
Turn Your Company Knowledge into an Unfair Advantage
Most enterprise data sits locked in silos — PDFs, SharePoint, Confluence, internal databases, emails. Your team wastes hours searching instead of doing their actual work.
RapidCore AI changes that. Our Enterprise RAG platform ingests, indexes, and retrieves from all your data sources, delivering precise, context-aware answers grounded in your company’s knowledge — in seconds, not hours.
Unlike generic AI chatbots, RapidCore is purpose-built for enterprise complexity. We handle messy data, strict access controls, and domain-specific terminology out of the box.
Retrieval-Augmented Generation
Go beyond basic search. RapidCore combines semantic retrieval with LLM reasoning to deliver answers grounded in your actual documents and data.
Multi-Source Data Ingestion
Connect PDFs, databases, SharePoint, Confluence, Slack, email archives, and APIs. RapidCore ingests and indexes everything in one unified knowledge layer.
Enterprise-Grade Accuracy
Advanced chunking, re-ranking, and citation tracking minimize hallucinations and ensure every response can be traced back to its source.
Fine-Grained Access Control
Role-based permissions ensure employees only see what they’re authorized to access. Your data governance policies are enforced at the retrieval layer.
Secure & Compliant
SOC2 and GDPR compliant by design. Deploy on your cloud, keep data in your jurisdiction, and maintain full audit trails.
Built for Scale
From thousands to millions of documents. RapidCore’s retrieval engine scales horizontally without degrading latency or accuracy.
Deploy Enterprise RAG with RapidCore in 3 Simple Steps
From data ingestion to production-ready AI answers — here's how RapidCore works.
Connect Your Data
Point RapidCore at your data sources — SharePoint, Confluence, databases, APIs, file storage. Our connectors handle ingestion and indexing automatically.
Configure & Fine-Tune
Set up chunking strategies, access controls, and retrieval parameters. RapidCore adapts to your domain terminology and document structures.
Deploy & Scale
Go live with production-ready RAG in days. Scale from a single team to the entire organization without re-architecting.
Enterprise RAG in Action
Knowledge Discovery & Research
Surface insights buried across thousands of documents. RapidCore agents summarize findings, extract key data, and deliver precise, cited answers — so analysts research in minutes, not hours.
Compliance & Regulatory Intelligence
AI agents automatically cross-reference policies, regulations, and internal guidelines — comparing clauses, flagging gaps, and generating compliance reports with full source traceability.
Customer & Internal Support
Deploy conversational AI assistants that answer questions in natural language using your actual knowledge base — product docs, SOPs, and internal wikis — with cited sources, not generic web data.
Portfolio Analysis & Reporting
Agents aggregate data from multiple sources, generate investment summaries, compare portfolios, and trigger reporting workflows — all grounded in your proprietary datasets.
RapidCore RAG Architecture
RapidCore Enterprise RAG handles the heavy lifting, so your team can focus on high-value decisions
Accuracy You Can Trust
Advanced retrieval, re-ranking, and citation tracking ensure every answer is grounded in source documents — not fabricated by the model.
Data Stays Yours
Your data is never used to train models. Deploy on your infrastructure with full encryption, SOC2/GDPR compliance, and granular access controls.
Plugs Into Your Stack
Pre-built connectors for SharePoint, Confluence, Slack, S3, databases, and more. Flexible APIs for custom integrations. Live in days, not months.
Scales With You
From a single team to the entire organization. Index millions of documents without compromising retrieval speed or accuracy.
Security — Enterprise RAG You Can Rely On
Complete Control Over Your Data
Choose where your data is stored and processed. Bring your own cloud storage, enforce data residency, and maintain full ownership at every step.
Continuously Monitored, Always Available
24/7 uptime with committed SLAs and a global team monitoring the health of your RAG deployment.
Enterprise-Grade Security
Comprehensive security spanning administrative, organizational, technical, and physical safeguards — designed to comply with SOC2, GDPR, and leading global frameworks.
Works With Every Leading LLM
RapidCore integrates with top cloud-based AI providers and supports self-hosted open-source models — giving you full flexibility to choose the right LLM for every use case.
Cloud-Based LLMs
Self-Hosted / Open Source
FAQs
Everything you need to know about RapidCore AI and Enterprise RAG.
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.
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.
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.
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.
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.
Through advanced chunking strategies, semantic re-ranking, and strict citation tracking. Every response includes references to source documents, so users can verify accuracy.
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.
Still have questions? Contact us
Ready to Put Your Data to Work?
See how RapidCore Enterprise RAG can transform how your team accesses knowledge. Book a personalized demo today.