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Tagged: Python
Self-Healing Multi-Agent Team in LangGraph: Architect, Tester, Debugger
Build a LangGraph state machine in Python where an Architect, Developer, pytest sandbox, Debugger and Reviewer collaborate and loop until the tests pass.
31 min readLangGraph in Python: State, Parallel Nodes, Checkpoints and Human Review
A hands-on LangGraph tour in Python: TypedDict state and reducers, edges, checkpointers, interrupts, and an email triage workflow with human approval.
25 min readA Local LLM Agent Workflow Built From Folders and Markdown Files
Build a gated, multi-stage local agent pipeline where each stage is a folder, prompts are editable markdown, and a human reviews output before the costly step.
25 min readContext Engineering in Practice: A Claude Agent SDK Research Agent
Build a Python research agent with the Claude Agent SDK using write, select, compress and isolate patterns, then compare it against a naive baseline in measured runs.
20 min readAn AI Engineering Roadmap for 2026: From Python to Agents and LLMOps
A phased 2026 learning path for AI engineering, from Python and math through classical ML and deep learning to RAG, MCP, agents, evals and deployment.
14 min readContract Intelligence with OCR, Hybrid RAG and LangGraph
A contract extraction pipeline: image cleanup, PaddleOCR with a GPT-4o fallback, FAISS plus BM25 retrieval, multi-query RAG and a scored Excel report.
27 min readAuditing RAG Retrieval for Stale Chunks, Drift and Noisy Context
A Python audit for RAG retrieval: golden queries, cosine relevance gates, Kolmogorov-Smirnov drift checks and context efficiency, plus how to read the report.
12 min readLlamaIndex Plus LangGraph: A Clean Pattern for RAG Agents
How to build a knowledge base with LlamaIndex and expose it to a LangGraph agent as a tool, with persistence, Chroma, and retriever-only mode explained.
14 min readBuild a Planning Agent in LangGraph: Plan, Execute, Replan, Report
A four-node LangGraph planning agent for financial research: structured plans, a namespace-aware tool registry, replanning limits and a traced example run.
16 min read
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