Applications & Impact

This tutorial guides AI developers in building a retrieval agent that can make decisions on retrieving context from a vector store or responding directly to users. Key takeaways include fetching and preprocessing documents, indexing them for semantic search, and creating an agentic RAG system for decision-making.