Initial setup: Knowledge base RAG system with LlamaIndex and ChromaDB

- Add Python project with uv package manager
- Implement LlamaIndex + ChromaDB RAG pipeline
- Add sentence-transformers for local embeddings (all-MiniLM-L6-v2)
- Create MCP server with semantic search, indexing, and stats tools
- Add Markdown chunker with heading/wikilink/frontmatter support
- Add Dockerfile and docker-compose.yaml for self-hosted deployment
- Include sample Obsidian vault files for testing
- Add .gitignore and .env.example

src/knowledge_rag/__init__.py

@@ -0,0 +1,3 @@
+"""Knowledge RAG - RAG system for Obsidian vault knowledge base."""
+
+__version__ = "0.1.0"