RAG - Vienna Gentlment

Understanding Vector Search in Machine Learning: The Retrieval Half of RAG

This article delves into the concept of vector search, explaining how it efficiently identifies relevant data among vast datasets without unnecessary checks.

Editorial Staff 1 day ago

Tech Machine Learning

Your AI Is Showing — Post 9

This post delves into the weaknesses of vector and embedding techniques in large language models, particularly in the context of retrieval-augmented generation.

Editorial Staff 2 days ago

Tech AI

Preventing Hallucination in AI: The Typed Answer Contract Explained

This article discusses a new schema-based approach to enhance the accuracy of AI responses by implementing a typed answer contract.

Editorial Staff 10 days ago

Tech AI

The Untaught Lessons of RAG Retrieval: Why Cosine Isn't the Answer

This article examines six key positions on retrieval methods that challenge the mainstream cosine-first approach in retrieval-augmented generation (RAG).

Editorial Staff 11 days ago

#RAG

Understanding Vector Search in Machine Learning: The Retrieval Half of RAG

Your AI Is Showing — Post 9

Preventing Hallucination in AI: The Typed Answer Contract Explained

The Untaught Lessons of RAG Retrieval: Why Cosine Isn't the Answer