RAG Systems — AI Over Your Data
Give your data a voice. Ask your company knowledge base like a person.
Your data as your smartest colleague
RAG (Retrieval-Augmented Generation) connects a large language model to your own data. The result is an AI that answers accurately and factually — not from general knowledge, but directly from your PDFs, internal wikis, contracts, or databases.
When RAG is the right fit:
- Internal knowledge base: Employees ask the system instead of digging through stacks of documents.
- Customer support: A chatbot that answers from your manuals and FAQ with accuracy and source citations.
- Document analysis: Fast search through legal contracts, technical documentation, or research reports.
- Vector databases: Implementation of Qdrant, Chroma, or Pinecone for efficient semantic search.