Bring AI to your SQL queries
Spice transforms SQL into your interface for AI. Call models like OpenAI, Anthropic, or Bedrock with the AI() SQL function to generate text, classify data, and enrich results.
AI where your data lives
Generate insights, build autonomous agents, and enrich results—directly from the tools and SQL workflows you already rely on.
Accelerate data analysis
Call large language models inline using SQL functions to summarize, translate, or classify data with no external APIs or glue code.
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Combine data and AI
in one workflow
Avoid context switching and integrate AI with standard SQL operations. Chain model responses to filters, joins, or aggregations to build RAG pipelines.
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Maintain data governance
& security
All AI-driven operations are performed within your governed SQL environment, so data never leaves your compliance boundaries and access is fully auditable.
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AI engine designed for developers
Spice makes AI a native part of SQL with built-in model functions, prompt execution, and inference orchestration.
AI(), the SQL Function for LLMs
Use the AI() SQL function to query OpenAI, Anthropic, Bedrock, or any custom LLM endpoint. Spice handles tokenization, context management, and streaming responses.
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Native Text-to-SQL generation
Use natural-language prompts to generate SQL queries automatically. Spice leverages an LLM to interpret intent and produce valid, optimized SQL against your connected datasets.
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AI sandboxing for least-privilege access
Define governed AI sandboxes as intermediary access points. Spice lets teams expose only specific table, column, or row access to LLM queries without exposing production databases.
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Trusted by developers building production AI
Teams use Spice to integrate AI directly into SQL workflows—accelerating development and eliminating redundant pipelines.
"Partnering with Spice AI has transformed how NRC Health delivers AI-driven insights. By unifying siloed data across systems, we accelerated AI feature development, reducing time-to-market from months to weeks - and sometimes days. With predictable costs and faster innovation, Spice isn't just solving some of our data and AI challenges - it’s helping us redefine personalized healthcare.”
Tim Ottersburg
VP of Technology, NRC Health
“Spice AI grounds AI in our actual data, using SQL queries across all our data. This brings accuracy to probabilistic AI systems, which are very prone to hallucinations.”
Rachel Wong
CTO, Basis Set
Integrations across all of your data sources
Built-in connectors for 30+ modern and legacy sources, from Databricks and S3 to MySQL and PostgreSQL, with provider-agnostic support for major LLM APIs.
FAQs
Answers to common questions about calling LLMs from SQL
What is the AI() function?
AI() is a built-in Spice function that lets you call large language models directly inside SQL queries. It takes a prompt (and optional data columns) as input and returns model completions as query results. This allows you to summarize, translate, generate, or classify text inline without additional code or API management.
How does text-to-SQL work?
Spice uses your preferred LLM to convert prompts into executable SQL. Results are constrained to your connected datasets and subject to all existing SQL permissions and governance rules.
Can I use different model providers?
Yes. Spice abstracts model providers behind a common interface; select OpenAI, Anthropic, Bedrock, or your custom model by name in each call. This keeps your SQL portable and futureproof.
See Spice in action
Get a guided walkthrough of how development teams use Spice to query, accelerate, and integrate AI for mission-critical workloads.
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