Core Components of a Production-Grade GenAI Stack
Posted: | Categories: tech | Tags: AgentOps, Agents, GenAI, LLMs
GenAI Stack Components Layer Vertex Component(s) Represents Takeaway Discover Model Garden Multi-modal model sourcing Support for various modalities (Text, Vision, etc.) is essential Prototype Notebooks, Studio, Colab Safe and collaborative R&D Allow fast iteration and experimentation before committing to scale Customize Training, Feature Store, Experiments Fine-tuning, embedding, model tuning Domain-specific model improvements need feature/embedding pipelines Orchestrate Vertex Pipelines Workflow automation Seamless orchestration of LLM workflows, agents, or data pipelines Augment & Chain Grounding, RAG, Extensions, Agent Builder Retrieval-augmented generation stack Ground responses with verifiable data and enable external tool usage Experiment TensorBoard, Experiments Model evaluation & diagnostics Measure model behavior with reproducible experiments and visual tools Predict & Serve Endpoints, Vector Search Scalable deployment and retrieval Enable low-latency LLM and embedding-backed services for production use Govern Model Registry, Dataplex Compliance and observability Ensure traceability, auditability, versioning, and access control Read more...