TECHNOLOGY
Why Agentic AI assistants Set Querix Apart
At Querix, we harness the power of Agentic AI combined with Retrieval-Augmented Generation (RAG) technology to deliver a superior virtual agent experience. Our advanced approach elevates our virtual agent's performance beyond traditional solutions, offering unmatched accuracy, reliability, and ease of use
Here’s why Agentic AI with RAG technology makes Querix the best choice for your business:
Minimum levels of hallucination
Traditional virtual assistants can sometimes generate responses based on assumptions or incomplete data, leading to “hallucinations” – incorrect or misleading answers. Querix, powered by Agentic AI with RAG technology, significantly reduces this issue by ensuring that every response is grounded in verified, factual information. Our system retrieves relevant data from controlled sources, providing answers that you can trust
Controlled sources of information
With Querix, you have full control over the sources of information that our virtual assistant uses. Agentic AI with RAG technology allows us to integrate and retrieve data from pre-approved and reliable databases, ensuring that the information is always accurate and up-to-date. This controlled approach means you can rely on Querix to deliver consistent and dependable responses every time.
Explainable and Interpretable Answers
Understanding the rationale behind an answer is crucial for building trust and transparency. Agentic AI with RAG technology enables Querix to provide explicable answers by clearly referencing the sources of information used to generate each response. This feature allows users to see the evidence supporting the virtual assistant’s answers, fostering confidence in the interactions.
Unlock precise information with RAG-powered Querix
Architecture of dezzai’s RAG technology
Feature |
Agent without RAG |
Agent with RAG |
|---|---|---|
| Data retrieval | Limited to pre-defined knowledge base | Dynamic retrieval from multiple data sources |
| Response Accuracy | Moderate | High |
| Handling Complex Queries | Struggles with complex, multi-step queries | Excels at complex, multi-step queries |
| Integration with Data Sources | Basic integration | Advanced integration with CRM, CMS, etc. |
| Personalization | Limited personalization based on static data | High level of personalization from dynamic data |
| Scalability | Moderate scalability | High scalability |
| GDPR Compliance | Supports GDPR compliance | Streamlines accuracy for GDPR compliance |
| User Trust | Moderate | High |