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Scalability

Building Smarter APIs: A Guide to Integrating CrewAI with FastAPI

Building Smarter APIs: A Guide to Integrating CrewAI with FastAPI

Table of Content · 1. Introduction ∘ Customer Support Agent ∘ Personal Finance Advisor ∘ Healthcare Assistant ∘ Learning Companion ∘ Project Management Assistant ∘ Creative Partner ∘ Smart

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💸 $5/Minute Using AI: The Lazy Person’s Guide to Easy Money 💻

💸 $5/Minute Using AI: The Lazy Person’s Guide to Easy Money 💻

Effortless Income: How AI is Making Life Easier for the “Chill” Generation 🦥 Gone are the days when hard work was the only way to success. These days, lazy people (yes, you read that right)

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Why AI Agents are Good Software

Why AI Agents are Good Software

Why (well designed) Agentic Systems Work as Well as they do A month or so ago, [I did the following article on how Agentic AI could enforce better software design principles for AI systems.]

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The Top 12 Agent-based Workflow Tools

The Top 12 Agent-based Workflow Tools

Discover how to choose the right tools for automating workflows Disclosure: I use GPT search to collection facts. The entire article is drafted by me. Thank you for being a part of this jo

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Agentic RAG Series: Exploring LangGraph for Advanced Workflows

Agentic RAG Series: Exploring LangGraph for Advanced Workflows

Stuck behind a paywall? Read for Free! Introduction In the previous article, we introduced the concept of Agentic RAG, highlighting how it extends the traditional Retrieval-Augme

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Building Enterprise AI Apps with Multi-Agent RAG!

Building Enterprise AI Apps with Multi-Agent RAG!

Authors: Pavan Belagatti & Madhukar Kumar In the rapidly evolving landscape of AI, [multi-agent Retrieval-Augmen

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Optimizing Workflow Efficiency with LangGraph and Agents: Key Features, Use Cases, and Integration…

Optimizing Workflow Efficiency with LangGraph and Agents: Key Features, Use Cases, and Integration…

In the context of Generative AI and large language models (LLMs), agents and LangGraph are tools and frameworks that enhance the functionality of LLMs by allowing them to perform tasks,

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LazyGraphRAG: A New Era of Efficient and Effective RAG | by Ankush k Singal | Nov, 2024 | Medium

LazyGraphRAG: A New Era of Efficient and Effective RAG | by Ankush k Singal | Nov, 2024 | Medium

Introduction In the realm of artificial intelligence, Retrieval Augmented Generation (RAG) has emerged as a powerful technique to enhance the capabilities of large language models (LLMs). RAG e

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How Magnetic-One is Redefining Multi-Agent AI Systems

How Magnetic-One is Redefining Multi-Agent AI Systems

If you’re like me, always curious about where AI is heading, you’ll know we’ve reached a point where single models aren’t enough for solving highly complex tasks. Enter Magnetic-One, Micros

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MLOps → LLMOps → AgentOps: Operationalizing the Future of AI Systems

MLOps → LLMOps → AgentOps: Operationalizing the Future of AI Systems

Introduction With rapid advancements in AI technology, organizations need scalable frameworks to handle the growing complexity of deploying machine learning models, large language models (LLM

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Claude 3.5 Sonnet on Amazon Bedrock: A New Era for AI-Powered Knowledge Bases

Claude 3.5 Sonnet on Amazon Bedrock: A New Era for AI-Powered Knowledge Bases

In the ever-evolving landscape of artificial intelligence, staying ahead of the curve means embracing the latest innovations with both enthusiasm and strategic insight. One such innovation that

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Comparative Study of LangGraph, Autogen, and Crewai for Building Multi-Agent Systems

Comparative Study of LangGraph, Autogen, and Crewai for Building Multi-Agent Systems

As we venture into the realm of multi-agent systems (MAS), it’s essential to understand the diverse programming languages designed specifically for this purpose. In this article, we’ll delve into

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The Real Reason OpenAI Abandoned Next.js for Remix

The Real Reason OpenAI Abandoned Next.js for Remix

The surprising reasons behind OpenAI’s move and what it means for the future of web development Introduction to the Transition OpenAI recently caused a stir in the developer community by m

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