Build RAG for Source Verification

Develop a RAG component. When the agent browses a page, extract relevant text chunks and embed them into a local vector database. Before finalizing an answer, retrieve relevant chunks from this database to verify facts and augment the LLM's response with direct citations. Demonstrate how this improves answer quality and reduces hallucination compared to a non-RAG approach.