Explore the key trends shaping enterprise generative AI in 2025. Learn how generative AI will become as common as search, how autonomous AI agents will begin to make a limited impact, and why robust AI governance frameworks will be critical for safe and effective deployment. Stay ahead of the curve| Datagrom | AI & Data Science Consulting
Descubre y sigue un ejercicio Python con código completo para crear Aplicaciones LLM usando Langchain. Aprende a reutilizar prompts con Templates y Parsers, crea flujos de datos y herramientas para tus agentes.| Aprende Machine Learning
Author(s): Vlad Johnson Originally published on Towards AI. In the rapidly evolving field of Artificial Intelligence, multi-agent systems have emerged as a ...| towardsai.net
Descubre qué es un agente de IA, por qué están revolucionando la tecnología y cómo cambiarán tu forma de trabajar para siempre.| Aprender BIG DATA
Amazon Bedrock AgentCore enables rapid deployment and scaling of AI agents with enterprise-grade security. It provides memory management, identity controls, and tool integration—streamlining development while working with any open-source framework and foundation model.| Amazon Web Services
Build AI agents with LangChain & LangGraph: Approaches from prebuilt ReAct to custom implementations. Complete code examples| Analytics Yogi
Hi guys, let’s dive into the world of building brainy chatbots! You know, the ones that can actually do things and not just parrot back information. Lately, I’ve been playing around with some really cool tech, LangGraph,MCP and Ollama and let me tell you, the potential is mind-blowing. We’re talking about creating multi-agent chatbots for […]| Collabnix
I may be late to the party, but LangGraph lets you build complex workflow architectures and codify them as powerful automations. Also LLMs, if you want. But you don’t have to!| surma.dev
Exploring the rise of AI-powered development tools and their impact on software engineering, from GitHub Copilot to local LLMs. A deep dive into "vibe coding," agentic development, and how these tools reshape our workflows while examining opportunities and challenges.| Nicolas Brousse - Resume & Blog
Example of an end-to-end implementation of an agentic retail chatbot assistant that provides an advanced conversational search experience through an agentic workflow encapsulating tool usage.| Vespa Blog
Scaling LLM-based agents to handle complex problems reliably.| blog.sshh.io
2025: Year of AI agents AI Agents are becoming the next big leap in artificial intelligence in 2025. From autonomous workflows to intelligent decision making, AI Agents will power numerous applications across industries. However, with this evolution comes the critical need for AI agent observability, especially when scaling these agents to meet enterprise needs. Without proper monitoring, tracing, and logging mechanisms, diagnosing issues, improving efficiency, and ensuring reliability in AI ...| OpenTelemetry
Data, Data Science, Machine Learning, Deep Learning, Analytics, Python, R, Tutorials, Tests, Interviews, News, AI| Analytics Yogi
Agent? What's that? In the current world where everything is running with and for AI, retrieval-augmented generation (RAG) systems have become essential for handling simple queries and generating contextually relevant responses. However, as ever evolving human we are, the need for complex, autonomous problem-solving has emerged. Here I present, behold| LanceDB Blog
Pat Patterson uses Drive Stats data to demonstrate how to build and test your own AI agent.| Backblaze Blog | Cloud Storage & Cloud Backup
Listen now (14 mins) | What were the top 5 trends in AI Multi-Agent Systems from 2024? What can we expect in 2025?| newsletter.victordibia.com
Agents are a new paradigm in AI, and they are changing how we build RAG systems. Learn how to build agents with Qdrant and which framework to choose.| qdrant.tech
Are AI agents being used in production? What's the biggest challenge to deploying agents - cost, quality, skill, or latency? Get insights on AI agent adoption and sentiment for devs and enterprises today.| www.langchain.com
See how Replit built their agents atop LangGraph and integrated LangSmith to pinpoint issues, improve the performance of their agents, and enable human-in-the-loop workflows.| LangChain Blog
The second installment in our "In the Loop" series, focusing on what cognitive architecture means.| LangChain Blog
