Enterprise-Ready RAG-as-a-Service.
RAG-as-a-Service lets your teams deploy private, compliant AI faster, saving months of engineering and millions in cost.
Why Your Business Needs RAG-as-a-Service
Precision
Answers only from your verified documents. No hallucinations. No liability risks
Advantage
AI that understands your products, your customers, your market position
Control
Your data stays private. Never used to train public models. Complete compliance
Enterprise-Grade RAG Infrastructure That Just Works
We handle the complexity of connecting your data to AI. Upload documents, and our RAG-as-a-Service does the rest, parsing, chunking, indexing, and retrieval.
Best-in-Class Indexing and Retrieval
Search, index, and retrieve data in milliseconds. Built for speed, accuracy, and enterprise scale.
Chunking – Divides documents into optimal chunks that maintain semantic coherence, improving accuracy while reducing noise.
Parsing – Automatic conversion of PDFs, Office files, web pages, and unstructured data into AI-ready formats without manual configuration.
Indexing – Builds vector embeddings, keyword indexes, and metadata stores for fast, comprehensive search.
Extraction – Identifies structure, entities, metadata, and relationships within your content, enabling precise filtering and context-aware retrieval.
Retrieval – Combines multi-index search with intelligent re-ranking to deliver the most relevant context to your LLM.
Multimodal RAG
Designed to process any content type, our multimodal ingest pipeline handles text, PDFs, images, audio, video, tables, and more.
Audio and video Automatic transcription with intelligent chunking and retrieval, including timestamps and streaming playback for spoken and visual content.
Structured Data Ingests databases, spreadsheets, and JSON, delivering grounded, context-rich results for any LLM through multi-index retrieval.
Text Processes plaintext and rich formats like DOCX and HTML, unstructured content becomes searchable, ready for parsing, chunking, and retrieval.
Presentations Extracts content from PowerPoints and Google Slides, including speaker notes, slide text, and embedded visuals for complete retrieval.
Application Ready
Pre-built features and integrations that accelerate your AI application development.
Data Source Connectors Native integrations with enterprise platforms like Google Workspace, Microsoft 365, Confluence, Notion, and cloud storage providers.
User-Managed Connections Allow your customers to securely connect their own data sources through embedded authentication flows.
Developer APIs Complete REST API coverage for document management, search configuration, and retrieval operations.
Client Libraries Official SDKs for major programming languages with built-in error handling, retry logic, and type safety.
Multi-Tenant Architecture Logically separate customer data into isolated partitions for secure multi-tenancy, focused retrieval, and enhanced data privacy.
Event Streaming Real-time webhooks for monitoring document ingestion, updates, and system events across your application.
AI Chatbot Application
Instantly get accurate, source-backed answers from your company’s docs, wikis, and tools, all in one place.
Accurate Answers Retrieval-powered responses grounded in your actual documents, reducing hallucinations and incorrect information.
Automatic Citations Every response links back to source documents, enabling quick verification and deeper exploration.
Secure & Private Role-based access ensures users only receive answers from documents they’re authorized to view.
RAG-as-a-Service: Enterprise Intelligence, Engineered Right
Made for Enterprises, By AI Engineers, to help you scale AI securely, accurately, and efficiently.
Book a Demo See how RAG-as-a-Service handles your
specific use case in a personalized walkthrough.
Your data. Your control. Always.
Data Privacy
Total control over your data. Zero retention policies, private deployment, and customer-managed encryption—your security rules, not ours.
Compliance Ready
Enterprise compliance, built-in. SOC 2, GDPR, HIPAA certified with automatic audit logging—check the compliance box without extra work.
Access Control
Granular security, zero friction. SSO, RBAC, and document permissions integrate with your existing identity systems seamlessly.
Integrate With Your Existing Stack in Minutes.
Cenango connects to your data sources and AI models without disrupting your workflow.
FAQs
What is RAG-as-a-Service?
It’s a managed platform that connects your data to AI models. You don’t need to build vector databases or search systems yourself. The platform handles everything automatically, document processing, indexing, and retrieval.
Think of it as plug-and-play memory for your AI. Upload your documents and start getting accurate answers immediately.
What is the difference between RAG and RAG-as-a-Service?
RAG is the technology that combines search with AI. It’s the “what.”
Building RAG yourself means managing infrastructure, databases, and ongoing updates. That’s complex and time-consuming.
A managed service like Cenango does all that for you. Same results, zero maintenance. Most teams save 6+ months of development time.
Is ChatGPT a RAG?
No. ChatGPT is a language model.It generates responses from its training data only.
It can’t search your company documents. It doesn’t access real-time information either.
RAG changes that. It connects AI models like ChatGPT to your knowledge base. This gives you accurate, source-backed answers from your own data.
What is the difference between RAG and LLM?
RAG adds a search step first. It finds relevant information from your documents. Then the LLM uses that information to generate responses.
This combination reduces errors significantly. Your AI can now answer questions about your proprietary data accurately.
What are the benefits of using Cenango's RAG-as-a-Service?
How long does it take to deploy Cenango's RAG-as-a-Service?
Simple integrations take hours to a few days. These use standard data sources and basic workflows.
Complex implementations need 2-4 weeks. These involve custom workflows or legacy systems.
Our AI team helps establish realistic timelines upfront. We ensure smooth deployment for your specific requirements.
Is Cenango's RAG-as-a-Service secure for enterprise data?
You can choose private deployment options.
You can also manage your own encryption keys. Zero data retention is available too.
We handle security. You focus on innovation.
Which LLMs work with Cenango's RAG-as-a-Service?
We integrate with OpenAI, Anthropic Claude, Azure OpenAI, and AWS Bedrock. Self-hosted open-source models work too.
You control which AI processes your data. Switch models anytime. No need to rebuild anything.
Still Have Questions?
Talk to our solutions team about your RAG-as-a-Service requirements. We’ll help you determine the best approach for your use case.