The Challenge
A global industrial technology company's R&D teams were spending disproportionate time on documentation retrieval. Technical documents were spread across repositories with no unified semantic search capability, creating friction in research workflows and slowing time-to-insight.
The Solution
We designed and deployed a serverless enterprise search solution built on AWS Bedrock and OpenSearch, with automated ingestion via AWS CodePipeline and Lambda. Engineers interact with the system through a Streamlit interface, querying technical documentation semantically — the system understands intent, not just keywords.
The Impact
R&D teams can now retrieve technical documentation instantly using natural language. The fully serverless architecture ensures scalability without operational overhead, and the system was delivered and production-ready within four weeks.
Reflection Question: How much time do your engineers spend searching for information instead of using it? What R&D velocity gains could you unlock with a smarter search layer?
Ready to accelerate your R&D operations? Let's build your enterprise knowledge retrieval system.