RAG Systems: Bridging Knowledge Gaps in AI

Why RAG Matters

RAG reduces hallucinations by grounding responses on your own knowledge base.

Retrieval Foundations

• Chunking strategy
• Embedding model choice
• Re-ranking pipeline

const topChunks = rerank(search(query, embeddings), query).slice(0, 5);
const answer = llm.generate({ query, context: topChunks });

Evaluation Metrics

Track context precision, answer faithfulness, and citation quality.