RAG Pipeline Development for Internal Knowledge Management
Designed and built a production retrieval-augmented generation (RAG) pipeline for organizing and surfacing internal company materials, enabling staff to query institutional knowledge through a natural language interface. Work included document ingestion, chunking strategy, embedding, and vector storage, with a focus on retrieval accuracy and response quality.