Build a LlamaIndex Document RAG Assistant

Tutorial · LlamaIndex · Retrieval-Augmented Generation Build a LlamaIndex Document RAG Assistant This guide explains the verified building blocks for a document question-answering assistant with LlamaIndex and OpenAI. It covers model and embedding configuration, document preparation, the distinction between basic RAG and agentic RAG, and how to think about persistence without presenting unverified code as

Build a Typed FastAPI API with Pydantic

Tutorial | Intermediate Build a Typed FastAPI Service with Pydantic This guide builds a small typed HTTP service using FastAPI and Pydantic. It demonstrates request validation, a stable response contract, and the framework’s route-first API structure. It does not claim a verified OpenAI or Anthropic integration: the supplied reference material does not establish provider SDK

Build a Memory-Backed TypeScript Coding Agent

Tutorial · TypeScript agent architecture Build a Memory-Backed TypeScript Coding Agent Learn the architecture behind a coding agent that carries useful knowledge across sessions. This guide focuses on verified design principles: persistent memory outside the model, retrieval of relevant context and tools, structured fact extraction, and a controlled tool-use loop. It does not present an

OpenAI-Compatible Proxy Security in FastAPI

Tutorial · LLM API security Assessing Security Risks in an OpenAI-Compatible FastAPI Proxy This source-bounded walkthrough explains what an OpenAI-compatible LLM router can observe or alter, how to reason about the intermediary threat described in the verified research, and how to assess the defense categories reported by that work. It does not provide a deployable

COBOL to Python: FastAPI Migration Evidence

Technical report and implementation guide COBOL to Python: FastAPI Migration Evidence This article examines what the available source reports about a COBOL-to-Python migration that produced FastAPI application artifacts. It is not a runnable migration tutorial: the source describes selected outcomes and examples, but does not provide a complete migration procedure, agent configuration, source repository, or

Build an Adaptive Codebase Research Agent

Tutorial · Advanced Build an Adaptive Codebase Research Agent Design a codebase research agent around three evidence-backed ideas: improve retrieval with a code knowledge graph, turn useful agent traces into reusable human-approved skills, and evaluate when adapting the model itself is appropriate. This guide also explains how debugging agents can use runtime tools such as

Design a Human-Approved AI Support Agent

Technical architecture guide | Customer support agents | Human approval Design a Human-Approved AI Support Agent This guide explains how to structure a customer-support agent that can use bounded tools while keeping consequential actions behind a human approval checkpoint. It focuses on verified control principles rather than presenting unverified framework or model API code as

LangChain Incident Analysis: Verified Guide

Tutorial · Source-verified overview LangChain Incident Analysis API: Verified Guide This guide reviews what the supplied sources actually establish about LangChain, OpenAI-compatible model serving, and application development. It does not claim to provide a verified, production-ready Next.js incident-analysis implementation: the available sources do not document that architecture, its provider integrations, or its code. What the

LlamaIndex Workflows: State and Human Approval

Tutorial · Architecture guide Designing LlamaIndex Workflows with Human Approval This guide explains how to reason about state, approval, and recovery in a LlamaIndex document workflow. It distinguishes a workflow’s in-process execution from durable application records, and highlights an important limitation in the supplied persistence evaluation: LlamaIndex serialized Context did not resume in a fresh

Build a LangGraph API with FastAPI

Tutorial · Advanced Build a LangGraph API with FastAPI Learn how to plan an OpenAI-compatible API boundary around a LangGraph workflow. This guide focuses on the verified architectural distinction between an application’s workflow and its public HTTP contract, and on the compatibility checks required for ordinary responses and server-sent events (SSE). It does not present

Build Next.js Apps with Google AI Studio

Tutorial scope: This guide covers the parts of Google AI Studio’s app-building experience that are verified by the available source context. It does not provide or claim to validate an OpenAI ChatGPT or Anthropic Claude API integration. Build a Next.js App with Google AI Studio Google AI Studio’s updated app-building experience supports Next.js, React, and

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