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The Spice.ai Cloud Platform is an AI application and agent cloud — an AI-backend-as-a-service with composable, ready-to-use building blocks including high-speed SQL query, LLM inference, vector search, and RAG, built on cloud-scale, managed Spice.ai OSS.
{% hint style="info" %} This documentation covers the Spice.ai Cloud Platform.
For the self-hostable Spice.ai OSS runtime, visit docs.spiceai.org. {% endhint %}
| 🚀 | Get Started | Sign up and run your first query in minutes | get-started |
| ⚡ | Federated SQL Query | Query across any data source with one SQL interface | federated-sql-query.md |
| 🤖 | AI Gateway | OpenAI-compatible API for LLM inference | ai-gateway.md |
| 🔍 | Search & Retrieval | Vector and hybrid search for RAG workflows | search-and-retrieval.md |
| 🔌 | Data Connectors | Connect to 30+ databases, warehouses, and lakes | data-connectors |
| 📊 | Monitoring | Observe performance with Grafana, Datadog, and more | monitoring |
With the Spice.ai Cloud Platform you can:
- Query and accelerate data — Run high-performance SQL queries across multiple data sources with results optimized for AI applications and agents.
- Use AI models — Perform LLM inference with OpenAI, Anthropic, xAI, and more for chat, completion, and generative AI workflows.
- Build agentic AI apps — Combine data, models, search, and tools into production-grade AI agent backends.
- Collaborate on Spicepods — Share, fork, and manage datasets, models, embeddings, evals, and tools in a collaborative hub indexed by spicerack.org.
| Use Case | Description |
|---|---|
| Agentic AI Apps | Build AI agent backends with unified data and model access |
| Analytics Replica | Run analytics on operational data without ETL or migration |
| Database CDN | Cache and accelerate hot data for low-latency applications |
| Data Lakehouse | Federated queries across warehouses, lakes, and databases |
| Enterprise Search | Semantic search across enterprise data sources |
| Enterprise RAG | Retrieval-augmented generation with your own data |
{% columns %} {% column %} Quick Start
Get up and running in minutes:
Get startedAPI reference {% endcolumn %}
{% column %} {% code title="query.py" overflow="wrap" %}
fromspicepyimportClientclient=Client("YOUR_API_KEY")
reader=client.query(
"SELECT * FROM my_table LIMIT 10"
)
df=reader.read_pandas()
print(df){% endcode %} {% endcolumn %} {% endcolumns %}
- Slack — Ask questions and get help from the team at spice.ai/slack.
- GitHub — File issues and contribute at github.com/spiceai/spiceai.
- Enterprise support — Paid plans include priority support with an SLA.
- Help Center — Browse the Help Center for troubleshooting, guides, and FAQs.