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Turn your proprietary data into a differentiator with RAG

Harness the power of GenAI while managing risks like inaccuracies and hallucinations.

Our free e-book provides you with practical tips on improving AI performance by anchoring it to your own relevant, up-to-date data.

How RAG works
The RAG Architecture diagram shows how user queries from interfaces like Slack,Teams, and your digital products interact with structured and unstructured data retrievers, pulling information from sources like Salesforce, SQL Server, SAP, and more. The Generator (LLM) processes the data to provide accurate, context-specific responses.
Key Benefits

Democratize insights for all

Empower everyone in your organization with relevant, accurate, and real-time insights through natural language.

Talk to your data in real-time

Turn your unstructured data, like PDFs and images, into interactive experiences serving real-time, actionable insights

Prevent AI hallucinations

Keep AI hallucinations at bay by retrieving the most relevant and up-to-date information based on your data.

Create personalized experiences

Enable permission-aware access controls creating tailored responses based on your role and what you have access to.

Secure your data

Maintain control of your proprietary data, ensuring privacy and security without third-party exposure.

Reduce the cost of AI

Save on expensive training and regular fine-tuning costs with an AI solution that seamlessly integrates with your existing data.

Keep Your AI Secure. Download the CTO's Blueprint to RAG.