Exploring some emerging toolings that enable developers to build and deploy LLM-based applications

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In this series, we’re exploring different technologies that make it possible for developers to successfully build and deploy LLM-backed applications. In this post, we will delve deeper into embedding models and vector databases. What they are, what role they play in the technology stack, and some of the emerging technologies in the space.

A Quick Recap of the Previous Post

In the previous post, we explored playground and app hosting. Playgrounds just as the name suggests in the context of AI platforms typically refer to interactive and user-friendly environments where users can experiment with and explore various aspects of an AI product. These playgrounds let individuals engage with AI technologies without requiring extensive technical expertise.

App hosting platforms provide hosting infrastructure for developers to deploy their LLM applications. The common theme among emerging hosting providers like Vercel, Steamship, Streamlit, and Modal discussed in the previous article is their ability to offer a simplified interface for deploying LLM apps. This allows developers to concentrate on the LLM app, rather than investing time on…