# Raily

- [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.
- [Quickstart](https://docs.raily.ai/quickstart.md): Connect a source, generate its search config, and serve it to your audience
- [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.
- [Connect a Raily MCP endpoint to Claude](https://docs.raily.ai/connect/claude.md): Connect a Raily MCP endpoint to Claude with OAuth. Follow setup for personal or managed workspaces, sign in, set tool permissions, and verify search.
- [Connect a Raily MCP endpoint to ChatGPT](https://docs.raily.ai/connect/chatgpt.md): Connect a Raily MCP endpoint to ChatGPT as a custom plugin with OAuth. Turn on developer mode, sign in, select the plugin, and verify search inside a chat.
- [Search with the SDK](https://docs.raily.ai/connect/sdk.md): Call your search endpoint from your code with the Python or TypeScript SDK.
- [SDKs](https://docs.raily.ai/sdks/overview.md): Search your data from your own code with the Python or TypeScript SDK.
- [Python SDK](https://docs.raily.ai/sdks/python.md): Search your data from Python with a typed client.
- [TypeScript SDK](https://docs.raily.ai/sdks/javascript.md): Search your data from TypeScript or JavaScript with a typed client.
- [AI Endpoints](https://docs.raily.ai/concepts/ai-endpoints.md): Expose your data collections in a trusted, authenticated, and transparent way to AI agents and applications
- [Configure sign-in providers for MCP endpoints](https://docs.raily.ai/concepts/identities-and-auth.md): Configure Raily-hosted sign-in or an OIDC provider, test the connection, and attach it to a Raily MCP endpoint.
- [Discoverability](https://docs.raily.ai/concepts/discoverability.md): Making your content discoverable and accessible to AI systems
- [Raily Agentic Layer](https://docs.raily.ai/concepts/agentic-layer.md): Configure how the agent navigates and retrieves content from your data sources
- [Access control for MCP endpoints](https://docs.raily.ai/features/access.md): Control access to Raily MCP endpoints with Raily-hosted sign-in, external OIDC providers, Organization grants, and scoped API keys.
- [Add and manage MCP endpoint users](https://docs.raily.ai/features/users.md): Grant Raily-hosted users access to MCP endpoints, manage inherited Organization grants, and send endpoint connect links.
- [Analytics](https://docs.raily.ai/features/analytics.md): Track content usage, access patterns, and AI system behavior
- [Evals](https://docs.raily.ai/features/evals.md): See how well search answers real queries against your data
- [Discoverability](https://docs.raily.ai/features/discoverability.md): Measure how your data and AI Endpoints are being selected by LLMs
- [Integrations Overview](https://docs.raily.ai/integrations/overview.md): Connect Raily to your vector stores, storage, and LLM providers
- [LLM Providers](https://docs.raily.ai/integrations/llm-providers.md): The models Raily uses for its agentic layer, answers, and embeddings
- [Storage Overview](https://docs.raily.ai/integrations/storage/overview.md): Flexible storage options for your source files
- [Amazon S3 Storage](https://docs.raily.ai/integrations/storage/s3.md): Connect an Amazon S3 bucket to Raily
- [Raily Storage](https://docs.raily.ai/integrations/storage/raily-storage.md): Let Raily store and manage your data
- [Add a Vector Store](https://docs.raily.ai/integrations/vector-store/overview.md): Connect a vector database to Raily so your collections become searchable
- [Data Catalog](https://docs.raily.ai/integrations/data-catalog.md): See and configure the fields that describe your content

## OpenAPI Specs

- [openapi](/api-reference/openapi.json)


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