For the complete documentation index, see [llms.txt](https://docs.spice.ai/llms.txt). This page is also available as [Markdown](https://docs.spice.ai/getting-started/readme.md).

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](https://github.com/spiceai/spiceai).

This documentation covers the **Spice.ai Cloud Platform**.

For the self-hostable **Spice.ai OSS** runtime, visit [**docs.spiceai.org**](https://docs.spiceai.org/).

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## Get Started

Sign up and run your first query in minutes

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## Federated SQL Query

Query across any data source with one SQL interface

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## AI Gateway

OpenAI-compatible API for LLM inference

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## Search & Retrieval

Vector and hybrid search for RAG workflows

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## Data Connectors

Connect to 30+ databases, warehouses, and lakes

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## Monitoring

Observe performance with Grafana, Datadog, and more

## What You Can Do

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](https://spicerack.org/).

## Use Cases

### Use Case

Description

- [Agentic AI Apps](https://docs.spice.ai/use-cases/agentic-ai-apps)
  Build AI agent backends with unified data and model access
- [Database CDN](https://docs.spice.ai/use-cases/database-cdn)
  Cache and accelerate hot data for low-latency applications
- [Data Lakehouse](https://docs.spice.ai/use-cases/data-lakehouse)
  Federated queries across warehouses, lakes, and databases
- [Enterprise Search](https://docs.spice.ai/use-cases/enterprise-search)
  Semantic search across enterprise data sources
- [Enterprise RAG](https://docs.spice.ai/use-cases/enterprise-rag)
  Retrieval-augmented generation with your own data

## Quick Start

Get up and running in minutes:

1. [Sign in with GitHub](https://github.com/spicehq/docs/blob/trunk/getting-started/get-started/portal-login.md)
2. [Create a Spice app](https://github.com/spicehq/docs/blob/trunk/getting-started/get-started/portal-login-1.md)
3. [Add a dataset and query data](https://github.com/spicehq/docs/blob/trunk/getting-started/get-started/step-2-add-dataset-and-query-data.md)
4. [Add an AI model and chat](https://github.com/spicehq/docs/blob/trunk/getting-started/get-started/step-3-add-ai-model-and-chat-with-your-app.md)

## Code Example

```python
from spicepy import Client

client = Client("YOUR_API_KEY")
reader = client.query(
    "SELECT * FROM my_table LIMIT 10"
)
df = reader.read_pandas()
print(df)
```

## Community & Support

- **Slack** — Ask questions and get help from the team at [spice.ai/slack](/content/slack/index.html).
- **GitHub** — File issues and contribute at [github.com/spiceai/spiceai](https://github.com/spiceai/spiceai).
- **Enterprise support** — [Paid plans](https://github.com/spicehq/docs/blob/trunk/pricing/plans.md) include priority support with an SLA.
- **Help Center** — Browse the [Help Center](https://github.com/spicehq/docs/blob/trunk/help/README.md) for troubleshooting, guides, and FAQs.