feat: initialize MCP RAG Prompts server with embedding management

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- Add package.json for project configuration and dependencies.
- Create src/index.ts as the entry point for the MCP server.
- Implement vectorStore for managing embeddings with local and cloud providers.
- Add embeddingProviders for local and cloud-based embedding services (OpenAI, Aliyun, SiliconFlow).
- Define types for prompts and embeddings in types.ts.
- Implement searchPersona tool for semantic search of expert personas.
- Create test.ts for validating vector storage and search functionality.
- Configure TypeScript with tsconfig.json for strict type checking and module resolution.

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lirui

2026-02-04 01:14:58 +08:00

commit 4693ebcf83

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