Contextual RAG and Its Role in Improving Data Extraction Accuracy

Learn how Contextual Retrieval-Augmented Generation (RAG) enhances retrieval by injecting user context, conversation history, and semantic enrichment for more accurate Large Language Model (LLM) responses.

After completing this Pathway, you will be able to:

• Explain context enrichment techniques in RAG workflows
• Understand contextual strategies to improve LLM accuracy