LangChain.js is overrated; Build your AI agent with a simple fetch call

In 2025, web developers face pressure to integrate AI into applications, often using LangChain.js, which is touted as the go-to toolkit for working with large language models (LLMs). However, while LangChain.js promises to simplify AI orchestration, it often introduces complexity through its extensive vocabulary and abstraction layers, resulting in opaque, hard-to-debug code and a significant dependency footprint. The article critiques this approach, advocating for a simpler, more transparent alternative using the fetch API to build AI agents like Retrieval-Augmented Generation (RAG) systems. By directly interacting with APIs and managing logic without heavy frameworks, developers gain clarity, control, and maintainability, reducing cognitive overhead and fostering skills transferable beyond specific libraries. This approach emphasizes mastering basic AI concepts and API interactions to build efficient, customizable, and transparent AI features.