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Step-by-step guides and tutorials for AI tools, frameworks, and implementations. Practical how-to content for developers and practitioners.
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Agent Guardrails 2026: NeMo, Llama Guard, Claude SDK Hooks
Build agent guardrails that survive production. Stack NeMo input rails, Llama Guard 4 classifiers, and Claude Agent SDK …
How to Add Human Approval Gates to Agents with LangGraph, AutoGen, and CrewAI in 2026
Stop your agent from sending the wrong email or paying the wrong invoice. Spec-first guide to human approval gates in …
Build a Stateful Agent with LangGraph, Mem0, and Zep in 2026
Stateful agents need three storage layers, not one. Wire LangGraph, Mem0, and Zep into an agent that survives restarts …
Agent Evaluation Pipeline: LangSmith, Braintrust, DeepEval (2026)
Specify a three-layer agent eval pipeline — DeepEval in CI, Braintrust for experiments, LangSmith for production traces. …
How to Choose LangGraph, CrewAI, AutoGen, or LlamaIndex in 2026
Choosing between LangGraph, CrewAI, AutoGen, or LlamaIndex Workflows in 2026? Decompose your agent system, match …
Build Multi-Agent Systems with LangGraph, CrewAI, and OpenAI SDK in 2026
A specification-first guide to building multi-agent systems in 2026. Learn when to pick LangGraph, CrewAI, OpenAI Agents …
How to Build Planning Agents with LangGraph, CrewAI, and AutoGen in 2026
Planning agents fail when frameworks come before patterns. Match ReAct, Plan-and-Execute, Reflexion, or ReWOO to your …
Persistent Memory for AI Agents: Mem0 vs Letta vs Zep (2026)
Spec a persistent memory layer for AI agents with Mem0, Letta, or Zep. A four-step decomposition for choosing the stack …
Build a Multimodal RAG Pipeline with ColPali, Jina v4, RAGFlow in 2026
Multimodal RAG turns PDF pages, charts, and screenshots into searchable knowledge. Spec a 2026 stack with ColPali, Jina …
How to Build a Document Parsing Pipeline with LlamaParse, Unstructured, and Docling in 2026
Build a document parsing pipeline that routes PDFs to LlamaParse, Unstructured, or Docling by complexity. A …
How to Build a GraphRAG Pipeline with Neo4j and LightRAG in 2026
Build a knowledge-graph RAG pipeline with Microsoft GraphRAG, Neo4j vector indexes, and LightRAG. Decompose components, …
Metadata Filtering in Qdrant, Weaviate, Milvus & Pinecone (2026)
Specification-first guide to metadata filtering in Qdrant, Weaviate, Milvus, and Pinecone — tenancy, date filters, and …
Long-Context vs RAG vs Hybrid: A 2026 Decision Framework
Long-context, RAG, or hybrid? A 2026 spec-driven framework for choosing between Gemini 3.1 Pro 1M, Claude Sonnet 4.6, …
RAG Evaluation Harness with RAGAS, DeepEval, and TruLens in 2026
Build a production RAG evaluation harness with RAGAS 0.4, DeepEval 3.9, and TruLens 2.8. Spec the metrics, gate CI, …
Build a Hybrid Search Pipeline: BM25, SPLADE-v3 + RRF in 2026
Vector search still misses rare terms. Here's how to architect a hybrid retrieval pipeline with BM25, SPLADE-v3, and …
RAG Hallucination Detection with Ragas, TruLens & Guardrails (2026)
Wire Ragas, TruLens, and Guardrails AI into your RAG pipeline to catch hallucinations before users see them. A …
Build a Contextual Retrieval Pipeline: Anthropic + Voyage + ColBERT
Contextual retrieval cuts RAG retrieval failures by up to 67%. Here is the pipeline spec for 2026 — Anthropic recipe, …
How to Build Agentic RAG with LangGraph, LlamaIndex & Haystack in 2026
Production agentic RAG in 2026 means hybrid search, cross-encoder rerank, and bounded loops. Spec the pipeline before …
Add Reranking to Your RAG Pipeline: Cohere, Voyage, Zerank-2 in 2026
Add a reranker to your RAG pipeline in 2026. Compare Cohere Rerank 4 Pro, Voyage Rerank-2.5, Zerank-2, and self-hosted …
HyDE vs Multi-Query vs Step-Back: Choosing RAG Query Transforms
Pick the right RAG query transformation. When HyDE beats multi-query, step-back outperforms decomposition, and routing …
Query Transformation Pipeline: HyDE & LangChain v1 in 2026
Build a query transformation pipeline in 2026 with HyDE, MultiQueryRetriever, and LangChain v1. Decide when each …
How to Build a Hybrid Search Pipeline with Weaviate, Qdrant, and SPLADE in 2026
Build a hybrid search pipeline by decomposing it into sparse, dense, and fusion specs. Covers Weaviate, Qdrant, and …
Production RAG with LangChain, Qdrant & Cohere Rerank in 2026
Build a production RAG pipeline in 2026 with LangChain, Qdrant hybrid retrieval, Cohere Rerank 4, and Ragas eval. Specs, …
Background Removal Pipeline 2026: BRIA, Photoroom & rembg
Build a production background removal pipeline in 2026. Spec BRIA RMBG-2.0, Photoroom API, remove.bg, and rembg as …
Prompt Grammar by Model: Midjourney, SD, Flux, GPT Image, Gemini 2026
Image models speak different prompt languages. Master Midjourney parameters, SD weights, Flux JSON, and natural-language …
Reproducible Image-Prompt Testing 2026: Promptfoo, Seeds, A/B
Build a reproducible image-prompt testing pipeline in 2026 with Promptfoo, seeds, and A/B eval. Spec what 'reproducible' …
How to Train a Custom LoRA for Flux and SDXL with Kohya SS, AI-Toolkit, and fal.ai in 2026
Train custom LoRAs for Flux and SDXL with Kohya SS, AI-Toolkit, or fal.ai. Covers dataset specs, learning rates, trigger …
How to Upscale Images: Real-ESRGAN, Magnific V2, ComfyUI in 2026
Upscaling pipelines fail when you skip the spec. Pick between Real-ESRGAN, Magnific V2, Topaz Gigapixel, and tiled …
Adobe Firefly vs. Flux Kontext vs. GPT Image: Decision Guide for 2026
Pick the right AI image editor for commercial work: Adobe Firefly indemnifies, Flux Kontext iterates, GPT Image follows …
Image Editing Pipeline 2026: Flux Kontext, Qwen Edit & GPT Image
Build a production AI image editing pipeline in 2026. Spec Flux Kontext, Qwen Image Edit, and GPT Image 1.5 as swappable …