setup

To configure a RAG MCP project from a clean clone, an interactive setup wizard guides you through provider selection, credential collection, config generation, dependency installation, validation, and dashboard launch in one flow.

Setting up OpenAI-compatible providers like DeepSeek or Ollama involves an interactive wizard that collects provider-specific credentials, generates schema-aware configuration templates, and scaffolds boilerplate support for unimplemented stacks.

Yes, the setup wizard supports configuring multiple providers simultaneously, including Azure, Gemini, and Qwen, by collecting the appropriate LLM, embedding, vision, and rerank choices to produce a valid settings file.

To fix startup validation failures during MCP environment configuration, the setup process diagnoses setup errors, installs missing dependencies, and automatically retries with guardrails using a repair mechanism.

Yes, the setup process automatically generates a valid configuration file from provider-specific templates and model requirements after you select your desired LLM, embedding, vision, and rerank providers.