Advanced RAG Techniques

Re-ranking in Advanced RAG

Advanced RAG Techniques

Context Injection in RAG Prompts

Prompt Construction and Context Injection

Prompt Construction and Context Injection

What is RAG and Why It Exists

Embeddings and Vector Representations

Chunk Size and Overlap Tradeoffs

The RAG Pipeline

Vector Databases and Their Role

Similarity Metrics

RAG vs Fine-Tuning for Knowledge

Semantic Similarity Search

Top-K Retrieval and Choosing K

Embedding Models and Selection

How RAG Reduces Hallucinations

Document Chunking Strategies