Build a Natural Language to SQL Interface
Convert plain English questions into SQL queries against your database, with schema-aware context retrieval and result visualization.
LLM Inference
The language model that understands natural language and generates SQL queries
Vercel AI SDK provides structured output via Output.object() perfect for generating validated SQL with schema constraints
Unified gateway to 100+ LLMs lets you benchmark which model writes the best SQL for your schema
Run models locally for sensitive database schemas that cannot be sent to external APIs
Schema Context & Retrieval
Store and retrieve database schema metadata, table relationships, and example queries as context for accurate SQL generation
LlamaIndex has dedicated SQL integrations — NLSQLTableQueryEngine and SQLAutoVectorQueryEngine — purpose-built for text-to-SQL with automatic schema retrieval
Embed table schemas, column descriptions, and sample queries as vectors for semantic retrieval when the user asks ambiguous questions
Knowledge graph engine that can model table relationships and foreign keys as structured memory for richer SQL context
Query Validation & Guardrails
Validate generated SQL for safety, prevent destructive queries, and ensure syntactic correctness before execution
Define validators that reject DELETE/DROP/UPDATE statements, enforce read-only queries, and validate SQL syntax before execution
Structured output with Pydantic ensures the LLM returns well-typed SQL objects with query, explanation, and confidence fields
Red-team your text-to-SQL pipeline with adversarial prompts to catch SQL injection attempts and hallucinated table names
Database Exploration & Execution
Connect to databases, execute validated queries, and present results in a user-friendly format
Lightweight data explorer with a web UI that supports Postgres, MySQL, SQLite — ideal for previewing query results and schema browsing
Purpose-built GenBI platform that turns natural language into SQL across any database, with built-in semantic layer and result visualization
Secure sandboxed environment to execute generated SQL safely, preventing any accidental side effects on production data
Observability & Evaluation
Monitor query accuracy, track LLM costs, and evaluate SQL generation quality over time