AI Document Retrieval & Support Engine
RAG document search engine enabling agricultural support reps to query technical equipment manuals, seed guides, and chemical safety sheets instantly.
50% reduction in customer support call handling time and workload.
The Challenge
Customer support representatives spent up to 20 minutes per inquiry manually searching through hundreds of heavy technical PDF manuals, chemical safety datasheets, and equipment schematics.
The Solution
Built a semantic vector search database (RAG) and conversational search widget allowing support staff and farmers to ask questions in plain English.
Retrieval-augmented model indexing 10,000+ technical PDF pages with instant pinpoint answer extraction.
Embedded web widget used by support reps to cite exact manual pages during customer phone calls.
Secure vector database hosted in a UK cloud environment with automated night-time document synchronization.
Key Outcomes
50% reduction in support workload.
Instant retrieval of exact technical manual paragraphs in under 2 seconds.
Zero missed chemical compliance guidelines.