RAG AI Assistant for Internal Procedures
Scattered documentation and an overloaded head office.
Hundreds of employees spread across the supermarket network constantly need to look up HR rules, store protocols and food safety guidelines. This information was scattered across dozens of PDF manuals in SharePoint, leading to constant phone calls to head office and serious losses of operational time at the counters.
A Generative AI assistant with strict Grounding.
Development of a virtual assistant with a RAG (Retrieval-Augmented Generation) architecture for natural-language queries (Catalan/Spanish). The bot doesn't make things up; it extracts the exact answer exclusively from the company's official documents and automatically attaches the link to the SharePoint file to guarantee absolutely zero hallucinations.
Measurable Impact
The engineering behind the impact
RAG Engine and Semantic Chunking
A robust indexing system that turns complex documents into intelligent answers:
- Chunking: Extraction and splitting of corporate manuals into semantic fragments.
- Metadata: Preservation of the canonical URL, title and page of each fragment.
- Grounding: Strict instructions to the foundation model never to rely on outside knowledge.
Data Sources
- - Dynamic collection in PDF and Word.
- - Corporate hosting on SharePoint.
- - Unattended updates.
Orchestrated Vector Synchronization
Files arrive via secure FTP in AWS S3. Every week, anAWS Lambda routine checks consistency with the client's directory tree. Texts are vectorized via Embeddings and loaded into OpenAI Vector Store, powering an ultra-fast chatbot that gives the answer and the exact link.
Want to free up your management team and eliminate information bottlenecks?
Give your operational staff an autonomous, accurate assistant. We index your own corporate documentation to deploy a RAG AI engine that gives the right answer and the official link in under 3 seconds.