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ci: upgrade to ironclad CI/CD configuration
- Upgrade setup-uv@v4 → v7 with built-in caching (removes cache warning) - Pin uv version to 0.5.6 for reproducible builds - Add ruff format --check (enforces consistent formatting) - Add --locked to uv sync (ensures lockfile integrity) - Auto-format 4 files to pass new format checke70a3b7 -
feat: Wire LlamaIndex RAG into Simple Mode (Tiered Embedding) (#83)
Unverified signature* feat: wire LlamaIndex RAG service into embedding infrastructure This PR implements tiered embedding service selection per NEXT_TASK.md: ## Changes - Add EmbeddingServiceProtocol (embedding_protocol.py) for unified interface - Add async wrappers to LlamaIndexRAGService (add_evidence, search_similar, deduplicate) - Update service_loader.py with get_embedding_service() factory method - Update ResearchMemory to use service_loader instead of direct EmbeddingService - Update orchestrators to use EmbeddingServiceProtocol type hints ## Design Patterns Applied - Strategy Pattern: Tiered service selection (LlamaIndex or local) - Factory Method: get_embedding_service() creates appropriate service - Protocol Pattern: Structural typing for service interface - Dependency Injection: ResearchMemory accepts any protocol-compatible service ## Tiered Selection - Premium tier (OPENAI_API_KEY present): LlamaIndexRAGService with: - OpenAI embeddings (text-embedding-3-small) - Persistent ChromaDB s…7baf8ba
