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BoxLang AI Series: Complete Guide to Building AI Agents
Table of Contents Start Here: A Practical OverviewThe Full SeriesWhat You’ll LearnKey ResourcesWhy BoxLang AIReady to Start Building? The world of AI development is moving fast, but building real, production-ready AI agents doesn’t have to be complex. This series walks …
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How to Develop AI Agents Using BoxLang AI: A Practical Guide
Table of Contents What we’ll CoverPrerequisitesStep 1 — Install BoxLangStep 2 — Install the bx-ai ModuleStep 3 — Set Up Your .env FileStep 4 — Configure config/boxlang.jsonStep 5 — Run Your First ScriptWhat Are AI Agents?What Is BoxLang AI?Core Concept …
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Explore Spring AI SDK – Amazon Bedrock AgentCore – Part 3
Table of Contents 1. Adding Built-in Tools: AgentCore Browser2. Add the below class.3. Create a Controller4. Create a Thymeleaf UI page5. VerifyReferences In Part 1 and Part 2, we explored the Spring AI SDK and Amazon Bedrock AgentCore features, including …
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BoxLang AI Deep Dive — Part 7 of 7: MCP — The Protocol That Connects Everything
Table of Contents 🔌 Consuming MCP Servers — The Client SideSeeding Agents with MCP ServersHow MCPTool Works🖥️ Building MCP Servers — The Server SideSimple ServerHTTP Transport for WebWeb Application Integration🔒 Enterprise Security FeaturesCORSRequest Body Size LimitsAPI Key ValidationAutomatic Security HeadersSecurity …
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Building an AI-Powered Operations Assistant with Spring AI and MongoDB Atlas — Part 1: RAG Foundation
Table of Contents The problemWhat we are buildingWhy RAG and why MongoDB AtlasHow the Pieces Fit TogetherGetting the Project RunningThe Ingestion PipelineThe Retrieval PipelineThe Atlas Vector Search IndexTrying It OutConclusion and What’s Next This is the first article in a …
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BoxLang AI Deep Dive — Part 6 of 7: Memory Systems & RAG — Building AI That Remembers
Table of Contents 🧠 Two Categories of Memory📋 Standard Memory TypesSummary Memory — How It Actually Works🔍 Vector Memory TypesHybrid Memory — The Best of Both🏢 Per-Call Multi-Tenant Identity Routing📚 Document Loaders🔗 Building a Complete RAG PipelineStep 1: IngestStep 2: …
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BoxLang AI Deep Dive — Part 5 of 7: One API, 17 Providers — The Provider Architecture Deep Dive
Table of Contents 🗺️ The Full Provider Matrix🏗️ The Provider Hierarchy🎯 IAiService — The Trimmed Interface🛡️ The Capability SystemRuntime Capability DetectionQuerying CapabilitiesEnforced at the BIF Level🔧 BaseService — The Transport Layer⚙️ Provider Configuration🔀 Custom Base URLs🏠 Ollama — Local AI, …
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Explore Spring AI SDK – Amazon Bedrock AgentCore – Part 2
Table of Contents Step 1: Add the Ai model and AgentCore memory dependenciesStep 2: Create Short/Long Term in AWS Management ConsoleStep 3: Add the following memory-related properties.Step 4: Add the below MemoryConfig class.Step 5: Create the ChatRequest and ChatResponse classes …
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Building a Personalized Content Delivery System
Table of Contents Prerequisites1. Data model2. Project setup3. Building the content-based recommendation engineUserProfileControllerGameRepositoryRecommendationService core logicRecommendationControllerManual test4. User ratings and affinity adjustmentRatings endpointAffinity adjustment logicMongoDB updateBefore and after demo5. Adding Spring AI embeddings and MongoDB Atlas Vector SearchSpring AI setupGenerating embeddingsDataSeeder …
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BoxLang AI Deep Dive — Part 4 of 7: Middleware — The Missing Layer in Every AI Framework 🧵
Table of Contents 🏗️ The Middleware Architecture🎯 AiMiddlewareResult — Typed Flow Control📝 LoggingMiddleware — Instant Observability🔁 RetryMiddleware — Resilience Without Boilerplate🛡️ GuardrailMiddleware — Defense in Depth🙋 HumanInTheLoopMiddleware — Keeping Humans in Control🎙️ FlightRecorderMiddleware — AI Testing Solved🔢 MaxToolCallsMiddleware — Runaway …