Puspak SupakarAutomating DevOps Pipelines with Agentic RAG using LangChainIn the world of DevOps, automation is the key. By leveraging the capabilities of Agentic RAG through LangChain, we can automate complex…Oct 26, 2024Oct 26, 2024
ravindu somawansaSimple Agentic RAG for Multi Vector stores with LangChain and LangGraph — Use AI the right wayWhen beginning with RAG and vector store creation, one question will come back soon: How can you choose the correct vector for each user…Aug 20, 2024Aug 20, 2024
Kishor KukrejaSmart OpenAI Routing AgentLangGraph-based Agent to automate run-time model selectionFeb 4Feb 4
TeeTrackerLangChain/LangGraph: Build Reflection Enabled AgenticIn this article, we create an AI Agent that has what is called reflection. We rely solely on LangChain to simplify model calls and only use…Feb 24Feb 24
TeeTrackerLangGraph / swarm and supervisor: Build Reflection Enabled AgenticImplement agentic systems with reflection mechanisms using langgraph-swarm and langgraph-supervisor respectively. From this point on, I…Mar 5Mar 5
Sajith KImplementing a Prompt Generator Using LangChain, LangGraph, and GroqIn this tutorial, we will implement a prompt generator by getting requirements from user. A human-in-the-loop mechanism is incorporated…Jan 261Jan 261
Sajith KUnderstanding Short-Term Memory in LangGraph: A Hands-On GuideIf you’ve ever built a chatbot, you’ve probably noticed how quickly things fall apart when it forgets what you just said. Short-term memory…Feb 26Feb 26
Story_TellerBodhi: An independent implementation of Microsoft GraphRAG (LangGraph) — Part 1The Ever-Growing Challenge of Understanding Complex InformationJan 18Jan 18
WSUsing AI Agents to Execute Shell Scripts with Langgraph using ollama: A Smarter Approach to…IntroductionMar 2Mar 2
Raunak JainOrchestrating agentic systemsStatic and dynamic execution of tasks by agentsApr 14, 2024Apr 14, 2024
InGoogle Cloud - CommunitybyJitendra GuptaDeploying an LLM Benchmarking Tool on Google Cloud:A Scalable Approach to Model Evaluation 🚀Mar 2Mar 2
InGoPenAIbyJenrayClaude MCP: From Novice to Expert — A Comprehensive Growth GuideIntroductionFeb 27Feb 27
InAI AdvancesbyWei-Meng LeeMastering Hugging Face Models: A Practical GuideDownloading, Organizing, Optimizing, and Quantizing for Enhanced PerformanceFeb 281Feb 281
HARSHA J SBuilding AI 🤖 Agents Using LangGraph: Part 11 — Building a Restaurant & Weather Recommendation…Welcome back to the LangGraph series! 🎉 In this part, we’ll take everything we’ve learned so far and step it up by creating a fully…Feb 231Feb 231
InAI AdvancesbyDebmalya BiswasLong-term Memory for AI AgentsWhy Vector Databases are not sufficient for Memory Management of Agentic AI Systems?Dec 8, 202420Dec 8, 202420
DhanushKumarExploring SmolAgents: Building Intelligent Agents with Hugging FaceSmolAgents is a cutting-edge library from Hugging Face that allows developers to create intelligent, domain-specific agents capable of…Jan 21Jan 21
Joshua BriggsBuilding a Semantic Router with LangGraph: A Beginner’s GuideEmbarking on a journey to integrate advanced AI decision-making into applications can be both exciting and challenging. In this article…Jan 31Jan 31
Mostapha Kalami HerisPrompt Decorators: A Simple Way to Improve AI ResponsesUnlocking the Full Potential of AI with Structured PromptsFeb 1631Feb 1631
InTDS ArchivebyYouness MansarKeeping Your AI Agent in Check: An Introductory Guide to Traces, Metrics and LoggingLearn how to implement metrics, logs, and centralized monitoring to keep your AI agents robust and production-readyNov 14, 2024Nov 14, 2024
