AI Insights & Data Retrieval

MNR Technologies empowers your LLMs to fetch and analyze structured data securely, turning static databases into conversational intelligence.

Let Your AI Talk to Your Data

Most RAG pipelines struggle with structured data. MNR Technologies solves this by implementing Robust Data Retrieval Frameworks that act as a secure bridge between Large Language Models and your enterprise databases.

We enable users to chat with databases in real-time, fetching precise information without the security risks or inaccuracies of traditional Text-to-SQL solutions.

Structured Data Retrieval Architecture

Core Capabilities

Structured Data Abstraction

Simplify complex queries by providing a lightweight abstraction layer over any structured data language, ensuring reliability and security.

Context-Aware Retrieval

Provide environment-specific context to queries, allowing the LLM to understand user intent and data relationships deeply.

Secure Query Generation

Avoid direct Text-to-SQL vulnerabilities. We use intermediate logic to ensure executed queries are safe, validated, and optimized.

Production Observability

Comprehensive monitoring of data retrieval paths, ensuring every insight generated by the AI is traceable and accurate.

Domain Knowledge Embedding

Embed complex business logic into the retrieval framework, making it easier for LLMs to generate precise responses from messy data.

The MNR Advantage

  • Faster and more cost-effective LLM responses via token optimization
  • Technology-agnostic integration with SQL, NoSQL, and GraphQL sources
  • Full control over executed queries to eliminate 'hallucinated' data fetches
  • Seamless natural language access to complex enterprise databases
  • Scalable architecture designed for production-grade AI agents
  • Enhanced security through validated intermediate query languages

Ready to Modernize Your Operations?

Discover how MNR Technologies can integrate advanced RAG architectures into your tech stack.

Schedule a Technical Discovery