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6G Web Studio · India

Help people find answers in your business knowledge.

A retrieval-augmented generation assistant can search approved documents and draft answers with supporting references. We begin with your real questions, source material and access requirements.

Clear scope · Practical technology · Human support

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The goal

Answers should be grounded in the sources you approve.

A RAG system retrieves relevant sections from selected knowledge sources before generating a response. We plan ingestion, permissions, citations, evaluation questions and human fallback together; the system should be able to say when its sources do not support an answer.

Good fit when

A useful fit when

We’ll check the project goal, existing tools and any outside dependencies before confirming the scope.

  • Staff repeatedly search policies, guides or product documentation
  • Customers ask recurring questions that approved content can answer
  • Knowledge is spread across documents and needs a clearer lookup path
  • You want to evaluate a contained AI use case before expanding it

A clear process

From first conversation to launch.

The exact sequence depends on the work, but the decision points stay visible.

01

Choose sources and questions

We review representative documents, users and the questions the assistant should handle.

02

Set boundaries and checks

We agree on access rules, citations, test cases, limitations and human escalation.

03

Evaluate before release

We test responses against your sample questions and adjust scope based on the results.

Common questions

Good to know before you start.

Does RAG guarantee correct answers?

No. Retrieval and citations can make answers easier to inspect, but they do not guarantee correctness. Testing, source quality and a clear human fallback remain important.

Can the assistant use private documents?

That depends on the chosen hosting and model setup, source permissions and data requirements. These details must be agreed before any documents are connected.

What should we prepare?

A small set of representative documents, common questions, intended users and any rules about what the assistant must not answer are a useful start.

Have a project in mind?

Let’s scope the right first step.

Share your goal and what you already have. We’ll reply with questions and a clear next step.

Discuss rag knowledge assistants ↗

A clear next step

Tell us about your project.

Share a few details and we’ll follow up about the package you selected.

We’ll email a copy to hello@6gwebstudio.com.