Industry:Enterprise AI / LLM

Enterprise Knowledge Base RAG Q&A System

Accurate, traceable Q&A over enterprise documents and data, built on retrieval-augmented generation (RAG) and LLMs.

The Challenge

Internal knowledge is scattered across documents, policies and systems; staff and customers struggle to find information, and keyword search returns irrelevant results.

Our Solution

We vectorize enterprise documents and data into a knowledge base and combine RAG with LLMs for accurate answers grounded in private knowledge, with traceable source citations.

Highlights

  • Accurate Q&A over private knowledge
  • Traceable answer sources
  • Permission and data isolation
  • Pluggable into service / internal assistant

Results & Value

  • Greatly improved knowledge retrieval
  • Reduced repetitive manual answering
  • Trustworthy, traceable answers
Back to Case Studies

Technology

Large Language Models (LLM) RAG Vector Database Text Embeddings On-Premise Deployment

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