AI-powered knowledge retrieval: A 50% reduction in response time
About the case
The challenge: Chasing down information across departments
Knowledge was spread across multiple departments and formats, making retrieval slow and inefficient. Accuracy and relevance were constantly at risk as the knowledge base continued to evolve.
Complex, dynamic knowledge base across departments.
Information stored in varied formats and locations.
Accuracy and relevance issues with evolving knowledge.
Inconsistent formats caused retrieval errors.
Scattered knowledge led to time loss.
Access barriers delayed critical decision-making.
Built an AI knowledge retrieval solution
A user-friendly interface was designed with role-based access control and customizable prompts to speed up customer support.
Integrated AI with files, databases, websites, and cloud storage.
Used NLP and heuristics for intelligent information extraction.
Applied Retrieval Augmented Generation (RAG) for context-aware answers.
Utilized OpenAI GPT-4 for generation and Milvus for vector storage.
Enabled source file retrieval and flagged dicey responses for human review.
The measurable impact
Reduced retrieval time from 10 minutes to under 5 minutes.
Improved response accuracy by 85%.
Delivered precise, context-aware answers.
Increased user satisfaction by 80%.
Integrated multi-format data sources for wide coverage.
Project Snapshot
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