Welcome to Spice.ai Cloud
Welcome to the Spice.ai Cloud Platform documentation!
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.
- Get StartedSign up and run your first query in minutes
- Federated SQL QueryQuery across any data source with one SQL interface
- AI GatewayOpenAI-compatible API for LLM inference
- Search & RetrievalVector and hybrid search for RAG workflows
- Data ConnectorsConnect to 30+ databases, warehouses, and lakes
- MonitoringObserve 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.
Quick Start
Get up and running in minutes:
Optional, with an OpenAI, Anthropic, or xAI API key: Add an AI model and chat with your data
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.
- 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.