01 /
Content is scattered
Useful information is spread across documents and systems.
AI / knowledge
A RAG service
for your content.
Search and answers grounded in company content, with access controls, source references, and quality checks on your real questions.
RAG
Search
Sources
Evaluation
Answer from contentrazrabotchik.com / RAG
User question01 / ASK
Retrieve sources02 / FIND
Sourced answer03 / ANSWER
Document accessQuality checks
First
Content review
Then
Retrieval and access
Outcome
Answer with sources
When it helps
An answer needs evidence in your content.
Policies, contracts, knowledge bases, and internal documents change. A generic chat does not know which version is current or what each person may access.
RAG fits when retrieving context and grounding answers solves the problem. Review content quality and real user questions before designing the system.
02 /
Answers need sources
Users need to see where a claim came from and whether it is current.
03 /
Access varies by user
Retrieval and answers must respect document permissions.
Building the service
Validate retrieval before polishing answers.
01 /
Collect questions
Common tasks and examples of good answers.
02 /
Prepare content
Sources, updates, chunking, metadata, and access.
03 /
Build retrieval
Check whether the right documents appear for test questions.
04 /
Evaluate answers
Sources, accuracy, abstention when evidence is missing, and cost.
Example approach
Search across internal technical documentation.
Build a test set from common questions. Retrieve current sections with access checks and answer with references. When evidence is missing, the interface should say so rather than invent an answer.
Sources and constraints follow a review of the company content.
Retrieval + generation
An answer you can verify.
Sources · access · evaluation
Questions
Do we need a custom model?
The first question is often retrieval and content quality. Model choice follows use-case and constraint testing.
How do we avoid stale answers?
Define index updates, source version metadata, and checks that answers reference current content.
What if the documents lack an answer?
The service should say that evidence is insufficient or route the question to a person.
Next step
Describe your challenge.
Describe the system, goal, and constraints. You will receive a proposed next step, delivery format, and plan for technical oversight.