ai-engineer

What problem does it solve?

This Skill addresses the complexity of building and deploying robust AI systems, from integrating Large Language Models (LLMs) to implementing Retrieval-Augmented Generation (RAG) and autonomous agents.

Core Features & Use Cases

• LLM Integration: Seamlessly connect and utilize various LLM APIs (OpenAI, Anthropic).
• RAG Pipelines: Design and implement efficient RAG systems for knowledge-based AI.
• AI Agents: Develop agents capable of tool use and complex task execution.
• Use Case: You need to build a customer support chatbot that can answer questions based on your company's documentation. This Skill will guide you through setting up the RAG pipeline, choosing an embedding model, and integrating it with an LLM.

Quick Start

Use the ai-engineer skill to set up a RAG pipeline for your documents.