The Self-Correcting RAG Pipeline: A Critic Agent in LangGraph
Build a production-grade self-correcting RAG pipeline with a LangGraph critic agent. Covers hallucination detection, retrieval grading, and loop escape
Architecture decisions, trade-offs, and the code behind them.
Build a production-grade self-correcting RAG pipeline with a LangGraph critic agent. Covers hallucination detection, retrieval grading, and loop escape
How to build a low-latency RAG pipeline that retrieves from live Kafka streams — architecture patterns, ingestion trade-offs, and failure modes from production.
A deep technical guide to Human-in-the-Loop (HITL) engineering patterns using LangGraph interrupts. Learn how to implement production-grade approval workflows, checkpoint-backed state management, and async human feedback loops for AI agents.
A principal engineer's guide to building production-grade AI agent systems with security guardrails, governance controls, and full observability.
A strategic guide to data products. Explore 5 powerful blueprints (Curator, Matchmaker, Oracle, Guide, Gatekeeper) and the key algorithms used to build them.
A deep-dive playbook for product teams. Learn our 4-step process: diagnose with cohort analysis, investigate with funnels, understand with ML, and validate with A/B tests.
A framework for structuring your data team into two functions: an 'Insight Engine' and a 'Value Engine' to maximize business impact and ROI from your data.
A practical agent engineering guide covering AI agent architecture, frameworks, orchestration patterns, production reliability, and the systems discipline required for real deployments.
Learn how to build an AI agent CI/CD and deployment pipeline with GitHub Actions, Docker, Kubernetes, and production release discipline for agent systems.
How Temporal makes long-running AI agents recoverable through workflow history, deterministic replay, Activities, retry policy, and idempotency.
Hierarchical AI agents in CrewAI are useful only when manager-worker delegation solves a real coordination problem. Use this framework before adding `allow_delegation`.
A practical CrewAI tutorial covering your first agent, `from crewai import Agent, Task, Crew, Process`, and when to use sequential or parallel crews.