
Why RAG Is Not Training Your AI
Are You Actually Changing the Model, or Just Giving It Context?
Topic
RAG is not training your model. It is a way to give the model the right context at the right time. These articles focus on retrieval, embeddings, indexing, evals, and the choices that matter in production.

Are You Actually Changing the Model, or Just Giving It Context?

(full training session) (typical path for companies)


Research and Writing: Why AI Tools Change the Workflow

Optimizing Large Language Models for Retrieval-Augmented Generation


Build a Smarter RAG System

Is fine-tuning an embedding model worth it?

Retrieval-Augmented Generation vs. Long Context: A Comprehensive Comparison

Why RAG Evaluation Matters and Techniques to Leverage

Advanced Vector Indexing Techniques for RAG

The most practical and in-depth LLM Developer course out there

Building the Best RAG Stack: A Breakdown of Wang et al.'s Goldmine Study


Our first book: Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG


The What's AI podcast episode 25 with Jerry Liu: LlamaIndex CEO and co-founder

Tips on what to do with your language model or API

How we Built an Open-Source RAG-based ChatGPT Web App
Towards AI's AI tutor! Answer any AI/LLM questions with references!

Move anything from point A to point B!

SAM, promptable segmentation and the largest segmentation dataset to date!


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