11 articles in this topic
A technical and business comparison of building custom AI infrastructure versus using platforms like Assisters. Includes real costs, time investments, and decision frameworks.
Complete API documentation for Assisters. Authentication, endpoints, request/response formats, error handling, and code examples in multiple languages.
Should you build a custom RAG system or use Assisters? A technical and business comparison for developers.
A technical deep-dive into Retrieval Augmented Generation (RAG) and how Assisters abstracts away the complexity of vector databases, embeddings, and retrieval pipelines.
RAG explained simply. How retrieval augmented generation works and why it matters for AI applications.
Why AI makes things up, and practical strategies to reduce hallucinations in your AI applications.
Deep dive into Retrieval Augmented Generation. How it works, when to use it, and implementation considerations.
Level up your prompt engineering with chain-of-thought, few-shot, and systematic optimization.
The complete guide to chatbot analytics. Which metrics matter and what to do with the data.
Secure your AI assistant against prompt injection, data leakage, and other threats.
How your AI handles errors matters more than you think. Best practices for graceful failure.
