AI architecture and context engineering. Design the context augmentation pipelines, spanning vector RAG, CAG, agentic file exploration, Text-to-SQL, knowledge graphs, fine-tuning, and MCP-based context engineering, and select the right approach for each use case. Select chunking strategy, embedding models, and retrieval architecture for user-owned document systems with multi-tenant isolation. Privacy and security guides each decision.
