Hybrid Search vs Vector Search vs Keyword Search for Enterprise RAG
Compare hybrid, vector and keyword retrieval for enterprise RAG with a ranking-fusion example, evaluation queries, precision, recall and operational trade-offs.
LangGraph Persistence and Checkpointing: Building Resumable AI Workflows
Build resumable LangGraph workflows with checkpoints, interrupts, durable storage, thread authorization and safe recovery from replay and uncertain writes.
Designing Deterministic vs Autonomous AI Workflows: A Decision Framework
Choose deterministic workflows, bounded AI steps or autonomous agents using a decision matrix for repeatability, cost, auditability and business risk.
AI Agent Security Threats: Prompt Injection, Tool Abuse and Least Privilege
Threat-model AI agents with prompt injection paths, a least-privilege tool matrix, approval boundaries and adversarial tests for unsafe tool calls.
AI Agent Observability: Tracing, Tool Failures, Cost and Reliability Metrics
Monitor AI agents with task traces, tool failure categories, reliability objectives, cost reconciliation and a privacy-aware troubleshooting playbook.
Multi-Agent Orchestration Patterns: Supervisor, Router and Hierarchical Teams
Compare supervisor, router and hierarchical multi-agent patterns, with delegation contracts, execution budgets, failure recovery and a practical selection checklist.
AI Agent Memory Architecture: Short-Term, Long-Term and Semantic Memory
Design scoped AI agent memory with thread state, durable facts and semantic retrieval. Plan provenance, tenant isolation, corrections and forgetting.
Human-in-the-Loop AI Agents: Approval Workflows, Escalation and Audit Trails
Design AI agent approval workflows with exact action review, expiry, escalation, duplicate-safe execution and an auditable decision trail.
MCP vs Function Calling vs REST APIs: When Should AI Agents Use Each?
Compare MCP, function calling and REST APIs by integration layer, ownership, latency, governance and use case, with a practical enterprise decision matrix.
How to Build a Secure MCP Server for Enterprise APIs Using Python or TypeScript
Build a bounded MCP API adapter with Python, tenant-aware permission checks, five core tests and an enterprise authentication and deployment checklist.