AI + DATA SCIENCE
Faster
Product
Lookup
with
RAG
RAG-style lookup for product and internal PDFs so repeated document questions did not keep becoming manual work.
Changed
Reduced manual search effort and improved speed of internal information access.
Took away
Retrieval work is useful when it makes internal knowledge easier to reach at the moment of need and still keeps trust visible.
Tools / frame
Context
Product and operational information often sits inside PDFs and internal documents that are slow to search manually.
Problem
Manual document lookup creates repeated effort, slower answers, and avoidable dependency on people who already know where information lives.
Contribution
Built an LLM-based RAG workflow to query documents, retrieve relevant context, and make product information easier to reach.
Tools used
Impact / learning
Reduced manual search effort and improved speed of internal information access.
Retrieval work is useful when it makes internal knowledge easier to reach at the moment of need and still keeps trust visible.
Future direction
Develop this into a clearer internal-knowledge case study with retrieval quality, UX, and trust considerations.