RAG
Rethinking RAG: Meta’s REFRAG
For the past few years, retrieval-augmented generation (RAG) has been the workhorse architecture for grounded LLM applications. You retrieve relevant
RAG
Data in CSV Format Isn’t Always the Best for LLMs
When you feed a large table into an LLM, the way you format the input can change the model’s
RAG
Choosing Between RAG, Fine-Tuning, or Hybrid Approaches for LLMs
A structured guide for AI engineers making architecture decisions
RAG
Building, Breaking, and Rebuilding: My Journey to a Smarter RAG Application
Ever tried organising years of accumulated knowledge into a searchable system? That's what led me down the rabbit