# Raily

## Docs

- [AI Servers](https://docs.raily.ai/concepts/ai-servers.md): Expose your data collections in a trusted, authenticated, and transparent way to AI agents and applications
- [Discoverability](https://docs.raily.ai/concepts/discoverability.md): Making your content discoverable and accessible to AI systems
- [Identities and Authentication](https://docs.raily.ai/concepts/identities-and-auth.md): Understanding identity management and authentication in Raily
- [Connect to ChatGPT](https://docs.raily.ai/connect/chatgpt.md): Connect your Raily data to ChatGPT applications
- [Connect to Claude](https://docs.raily.ai/connect/claude.md): Connect your Raily data to Claude via Model Context Protocol (MCP)
- [Connect via SDK](https://docs.raily.ai/connect/sdk.md): Connect your applications to Raily using our SDK
- [Access Control](https://docs.raily.ai/features/access.md): Control who can access your content with powerful access policies
- [Analytics](https://docs.raily.ai/features/analytics.md): Track content usage, access patterns, and AI system behavior
- [Authentication](https://docs.raily.ai/features/authentication.md): Secure authentication for AI servers and applications accessing your content
- [Data Storage](https://docs.raily.ai/features/data-storage.md): Flexible storage options for your content
- [Discoverability](https://docs.raily.ai/features/discoverability.md): Measure how your data and AI servers are being selected by LLMs
- [MCP Servers](https://docs.raily.ai/features/mcp-servers.md): Model Context Protocol servers for seamless AI integration
- [Vector Store](https://docs.raily.ai/features/vector-store.md): Enable semantic search and AI-powered retrieval with vector embeddings
- [See It in Action](https://docs.raily.ai/getting-started/see-it-in-action.md): Watch how users can query your content directly from Claude or ChatGPT, live, in minutes.
- [Welcome to Raily](https://docs.raily.ai/index.md): AI first layer for delivering specialized data and content to AI systems and agents, with built in authentication, trust, analytics, and optional monetization.
- [LLM Provider Integrations](https://docs.raily.ai/integrations/llm-providers.md): Integrate Raily with OpenAI, Anthropic, Google, and other AI providers
- [Integrations Overview](https://docs.raily.ai/integrations/overview.md): Connect Raily with your existing tools and platforms
- [Raily Storage](https://docs.raily.ai/integrations/storage/raily-storage.md): Use Raily's managed storage for your content
- [Amazon S3 Storage](https://docs.raily.ai/integrations/storage/s3.md): Store and serve your content using Amazon S3 with Raily
- [Qdrant Vector Store](https://docs.raily.ai/integrations/vector-store/qdrant.md): Integrate Raily with Qdrant for vector search and semantic retrieval
- [Raily Vector Store](https://docs.raily.ai/integrations/vector-store/raily-vector-store.md): Use Raily's managed vector database for semantic search and retrieval
- [S3 Vector Storage](https://docs.raily.ai/integrations/vector-store/s3-vectors.md): Store and retrieve vector embeddings using Amazon S3
- [Quickstart](https://docs.raily.ai/quickstart.md): Get up and running with Raily in under 10 minutes
- [Evaluations](https://docs.raily.ai/trust/evals.md): Validate and test how AI systems access and retrieve your content

## OpenAPI Specs

- [openapi](https://docs.raily.ai/api-reference/openapi.json)