In the evolving world of AI, retrieval-augmented generation (RAG) systems have become standard for handling straightforward queries and generating contextually relevant responses. However, as demand grows for more sophisticated AI applications, there is a need for systems that move beyond simple retrieval tasks. Enter AI agents—autonomous entities capable of executing complex, multi-step processes, maintaining state
AI Agent Workflows: The Ultimate Guide to Choosing Between LangChain and LangGraph Explore two transformative libraries—LangChain and LangGraph—both created by the same developer, designed to build Agentic AI applications. This guide dives into their foundational components, differences in handling functionality, and how to choose the right tool for your use case. Language Models as the Bridge Modern
Exploring Emerging LLM Agent Types and Architectures The Evolution Beyond ReAct AgentsThe shortcomings of first-generation ReAct agents have paved the way for a new era of LLM agents, bringing innovative architectures and possibilities. In 2024, agents have taken center stage in the AI landscape. Companies globally are developing chatbot agents, tools like MultiOn are bridging
