Deploy, configure, and integrate SWIRL federated search + RAG - Community and Enterprise.
Guided install (Docker, local, or the one-click Railway template), SearchProvider wizard for 25+ connectors, custom connector development, AI provider / RAG setup, Community-to-Enterprise and version migration, log-driven troubleshooting, and MCP hookup so your AI can search your sources through SWIRL.
Skills 9 in the Claude listing
connector Develop a custom SWIRL connector when no built-in connector fits the source - subclassing patterns, federation lifecycle, and testing. install Guided installation of SWIRL - Docker Compose (recommended) or local development install - with post-install verification. mcp Connect Claude (Desktop, Code, or any MCP host) to SWIRL via the SWIRL MCP server, so agents can run federated searches, read documents, and get grounded RAG answers over the organization's sources. migrate Migrate or upgrade a SWIRL deployment: Community to Enterprise, version upgrades (including 4.x to 5.0), moving the database to external PostgreSQL, and air-gapped hosts - with backup doctrine, prefli provider SearchProvider wizard: connect a data source to SWIRL by choosing the right connector, building the provider JSON, creating it via the API, and testing it with a live query. rag Set up AI providers and RAG in SWIRL: connect an LLM (OpenAI, Anthropic, Azure, Ollama, ...), assign roles, tune grounded question-answering over federated results, and configure the ranking models (e railway Deploy, configure, manage, and troubleshoot SWIRL Enterprise on Railway - the one-click hosted template: deploy flow, variables, AI providers, Microsoft 365 connection, the Railway API, version update start Entry point for working with SWIRL Enterprise. troubleshoot Diagnose a misbehaving SWIRL deployment from its logs and live endpoints - no results, failing providers, RAG errors, auth failures, UI issues - and file a support ticket when diagnosis needs SWIRL's