Applied AI & Data Science
DocumentIntelligencefor FasterLookup
Document Intelligence forFaster Lookup
BuiltApplied AI
RAG workflow for searching PDFs and internal documents without repeated manual lookup.
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 and slows down information retrieval.
Contribution
Built an LLM-based RAG workflow to automate document queries and make product information easier to retrieve.
Tools used
LLMsRAGPython
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.
Future direction
Develop this into a clearer internal-knowledge case study with retrieval quality, UX, and trust considerations.