Enterprise RAG Platform
Generative AI becomes exponentially more powerful when connected with your corporate data. But it's more than just pointing AI at your data—different types of data require different strategies.
Strategic Data Integration: Multiple excellent persistence and retrieval systems exist (Graph, SQL, Vector), and matching the use case to the database technology is vital for optimal performance and cost-effectiveness.
We help you choose the right approach for your specific needs, starting simple and scaling up only when necessary.
Why Enterprise RAG Matters
Retrieval Augmented Generation (RAG) transforms generic AI into your organization's intelligent assistant by grounding responses in your actual data.
AI becomes dramatically more powerful when connected to your specific corporate data and context.
Start simple and affordable, then scale up to advanced solutions only when your use case requires it.
Different data types require different strategies - we match the right technology to your specific needs.
Business and Enterprise customers get dedicated support to design the most effective solution.
The Power of Connected AI
Generic AI knows about the world. Enterprise RAG makes AI know about YOUR world—your processes, your data, your specific business context.
Generic AI
General knowledge, no context
Enterprise RAG
Your data + AI intelligence
Exponential Results
Contextual, accurate, actionable
RAG Strategy Options
We match the right technology to your specific use case, starting simple and scaling up only when needed.
Simple, cost-effective solution for small-scale document processing
Best For:
Individual files, documents, and small knowledge bases
Key Features:
- Quick setup
- Affordable storage
- Perfect for testing
- Immediate results
High-performance vector storage for large-scale enterprise data
Best For:
Large document collections, enterprise knowledge bases
Key Features:
- High performance
- Advanced indexing
- Semantic search
- Real-time updates
Relationship-aware data storage for complex organizational knowledge
Best For:
Connected data, organizational hierarchies, process flows
Key Features:
- Relationship mapping
- Complex queries
- Knowledge graphs
- Entity connections
Structured data integration with traditional database systems
Best For:
Transactional data, reports, structured business information
Key Features:
- Structured queries
- Business intelligence
- Report generation
- Data analytics
Our Approach: Start Simple, Scale Smart
Start with File-Based Vector Storage
For small numbers of files and initial testing, we use a simple, file-based vector database approach. This works very well for a small number of files and is very affordable.
Perfect for: Individual documents, small knowledge bases, proof of concepts, and budget-conscious implementations.
Level Up to Advanced Databases
We level up to more advanced (and expensive) databases when ingesting and leveraging data at scale is required. Business and Enterprise customers get personal attention to deliver the most cost-effective solution possible for their specific use case.
Includes: High-performance vector databases, graph databases for relationship mapping, and SQL integration for structured data.
Intuitive Management Interface
Audition AI includes an intuitive and approachable UI for managing advanced AI databases and connecting your enterprise data (for example, from SharePoint) while enforcing budget limits.
Features: Visual data connection setup, budget monitoring, performance analytics, and cost optimization recommendations.
Real-World Examples
Legal Firm
Started with file-based storage for case documents, scaled to graph database to map client relationships and case precedents.
Manufacturing Company
Integrated SQL databases for production data with vector storage for maintenance manuals and safety procedures.
Healthcare System
HIPAA-compliant RAG system connecting patient records, research papers, and treatment protocols in their own Azure environment.
Ready to Unlock Your Data's Potential?
Let's discuss your specific use case and design the most cost-effective RAG strategy for your organization.