smart capabilities
GenAI NL2SQL Engine
Timbr’s GenAI NL2SQL Engine transforms enterprise data into a structured, understandable format for large language models, enabling LLMs to generate accurate, explainable, and secure SQL to power AI copilots and workflows.
Why Native Query Language Makes the Difference
Unlike traditional semantic layers and SPARQL-based knowledge graphs, Timbr offers the operational integration and expressiveness essential for reliable NL2SQL generation. Moreover, LLMs are far better trained to generate SQL than SPARQL due to the volume of SQL examples in their training data, making Timbr’s architecture inherently more compatible with LLM reasoning.
Key Capabilities
High-Accuracy SQL Generation
Timbr’s explicit relationships eliminate the need for LLMs to infer JOIN logic, reducing ambiguity and simplifying SQL generation across multi-table queries, dramatically improving LLM accuracy for real-world query generation.
Powered by Semantic SQL Ontologies
Data structured a knowledge graph of business concepts, relationships, and hierarchies – directly in SQL – enables LLMs to understand what to ask and how to query.
LLM-Ready
Metadata
Timbr exposes the semantic model, lineage, and metadata in human-readable form, providing LLMs the full context they need to accurately formulate queries.
Explainability and Traceability
Every generated SQL query can be traced back to the originating concepts, logic, and metadata, enabling validation, debugging, and compliance.
LangChain, LangGraph, and GraphRAG Integration
Easily embed Timbr’s NL2SQL capability into GenAI agents, custom chatbots, and enterprise workflows.
