2,000+PDFs turned into a queryable knowledge base
The challenge
What we walked into.
The client needed a smarter way to search more than 2,000 PDFs of Standard Operating Procedures and business standards. Traditional keyword search kept missing context — finding the page is not the same as finding the answer.
What we built
The solution.
01
A Retrieval-Augmented Generation system over the full document corpus.
02
Document retrieval finds the most relevant sections from the PDFs; a generative model reads them and produces clear, context-aware answers.
03
Answers are grounded in the retrieved text rather than the model's memory — precise and reliable.
The results
What changed.
01
Teams query thousands of pages of SOPs in plain language and get sourced answers in seconds.