A successful Enterprise LLM implementation requires accurate integration of the organization’s unstructured and structured data.
Timbr SQL knowledge graph enables seamless integration of LLMs with business-aware, structured data models—optimizing accuracy, eliminating hallucinations, and ensuring trustworthy AI-driven decisions.
With LangChain support, users have the flexibility of their LLM choice without lock-in, and benefit for accelerated development and adoption.
Watch AI-assisted Query Generation in Action:
Benefits
Democratized Data Access & Self-Service Analytics
Non-technical users can query enterprise data using natural language without needing SQL expertise, reducecing dependency on data engineers and analysts for routine queries.
Contextualized & Accurate Responses
LLMs on their own can hallucinate or misinterpret enterprise-specific data. Integration with a SQL knowledge graph ensures accurate, governed responses by grounding the LLM in real, structured data.
Automated Query Generation & Optimization
Converts natural language queries into optimized SQL queries based on relationships in the knowledge graph, eliminating complex JOINS and benefiting from semantic SQL measures.
Better Decision-Making with Semantic Context
LLMs understand business concepts, hierarchies, and taxonomies within the knowledge graph, enabling context-aware recommendations and insights.
AI-Driven Insights & Summarization
LLMs, when integrated with a SQL Knowledge Graph, can synthesize large volumes of structured and unstructured data to generate insights, reports, and alerts while leveraging the graph’s relationships to uncover hidden trends and predictive insights from historical enterprise data.
Security, Compliance & Governance
Queries and responses are restricted by role-based access control (RBAC) and data policies enforced by the SQL Knowledge Graph, reducing the risk of data exposure or misinterpretation.
Real-World Use Cases: How Enterprises Leverage Timbr
| Use Case | Example Query |
|---|---|
| 📊 BI & Analytics Augmentation | "Show me the top 10 customers by revenue in Q4." |
| 🔍 Enterprise Search | "Find all customer complaints related to product defects in 2023." |
| ⚖️ Compliance & Risk Analysis | "List all high-risk transactions flagged in the past 6 months." |
| 🤖 Automated Reports & Insights | "Summarize sales performance by region for the last quarter." |
| 📈 Cross-Domain Querying | "What’s our customer retention rate across CRM & ERP systems?" |
How Timbr makes a Difference:
| Accuracy | ✓ Context-grounded responses |
| Ease of Use | ✓ Natural language queries |
| Enterprise Security | ✓ RBAC & Compliance |
| Data Integration | ✓ Structured + Unstructured |
Unlock the full potential of AI-driven data access. See how Timbr ensures accuracy, eliminates hallucinations, and enhances decision-making with context-aware insights.
