Enterprise AI in 2026 is defined by agentic AI, RAG-based knowledge systems, and on-premise deployments for regulated industries.
RAG Pipelines
Document ingestion, embedding generation, vector storage (Pinecone, Qdrant), retrieval with reranking, and LLM generation with cited sources.
Agentic AI
LangGraph, CrewAI, AutoGen. Agents that research, analyze, write, and interact with external systems autonomously.
On-Premise AI
Ollama, vLLM, llama.cpp on private GPU infrastructure. Zero data egress for BFSI, healthcare, government.
MLOps
MLflow, CI/CD for ML, model versioning, A/B testing, drift monitoring, automated retraining.