Giving a model access to your information.
THE PROBLEM IT SOLVES
A language model knows only what it learned during training.
It does not know your documents, your policies or your data.
THE APPROACH
When a question is asked, search your documents for relevant passages, then give the model those passages along with the question.
The model answers from the material provided.
WHY THIS IS BETTER THAN FINE-TUNING FOR KNOWLEDGE
The information stays in your documents, so it can be updated without retraining The model can cite what it used Hallucination is substantially reduced, because the answer is grounded in provided text
WHERE IT IS USED
Internal knowledge assistants Customer support answering from documentation Document question-answering Research over a collection
WHAT IT REQUIRES
Your documents, indexed for search A system connecting search to the model
WHAT STILL GOES WRONG
If the search retrieves the wrong passages, the answer is wrong The model may still add unsupported detail
WHY IT MATTERS TO YOU
Most practical business applications of language models use this approach.
