Challenge. Enterprise teams often struggle to retrieve accurate, up-to-date answers from large internal knowledge bases.
Solution. Built retrieval-augmented generation pipelines that combine semantic search with LLM reasoning. Optimized context windows, ranking strategies, and evaluation metrics for factual accuracy.
Outcome. Delivered higher answer precision and reduced hallucination rates, enabling faster adoption of chat-based tools across multiple enterprise domains.