Aidena

— AI STACK RECOMMENDATION

Natural Language to SQL Analytics Dashboard

Convert business questions into SQL queries and visualize results in a scalable BI dashboard. Combines data transformation, semantic search, and orchestration for startup-grade analytics.

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Data & Analytics

Natural Language to SQL Analytics Dashboard

Convert business questions into SQL queries and visualize results in a scalable BI dashboard. Combines data transformation, semantic search, and orchestration for startup-grade analytics.

high confidence

Core Stack ℹ︎

dbt (data build tool)

Primary

SQL-first transformation layer that builds clean, documented feature tables and metrics from raw data. Essential for preparing structured datasets that NL-to-SQL models can accurately query.

$0-$100/month

Cohere Command R+

Primary

Enterprise LLM optimized for RAG and tool use. Generates accurate SQL from natural language with built-in citation support, reducing hallucinations in query generation.

$0.003/1K tokens

Dagster

Primary

Asset-oriented data orchestration platform. Scales from startup to enterprise, manages dbt workflows, tracks data lineage, and ensures reliable query execution with built-in observability.

$0-$500/month

Complete the Stack ℹ︎

Elasticsearch Vector Search

Alternative

Hybrid vector + BM25 search for semantic understanding of table schemas and column metadata. Improves NL-to-SQL accuracy by retrieving relevant schema context.

$0-$200/month

Braintrust

Alternative

LLM evaluation platform for testing NL-to-SQL accuracy. Automated scoring of generated queries against expected results, enabling CI/CD for analytics reliability.

$0-$300/month

Getting started

  1. 1Set up dbt project to model raw data into clean, well-documented tables with clear column descriptions.
  2. 2Deploy Dagster to orchestrate dbt runs and schedule daily data refreshes.
  3. 3Index table schemas and column metadata into Elasticsearch for semantic retrieval.
  4. 4Build NL-to-SQL endpoint using Cohere Command R+ with few-shot examples and schema context from Elasticsearch.
  5. 5Integrate Braintrust for continuous evaluation of generated SQL accuracy.
  6. 6Connect dashboard tool (Metabase, Superset, or Looker) to execute queries and visualize results.
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