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گویچهGUYCHE
Knowledge-base chatbot

Turn organizational knowledge into traceable answers

Guyche processes approved web, text, and file sources and retrieves relevant passages when a question arrives. Sources and knowledge versions remain manageable.

A clear definition

What does knowledge-base chatbot mean?

Retrieval-augmented generation searches defined sources before composing an answer. It gives the model relevant business context instead of relying only on general model memory.

Practical value

Why this approach is useful for business

1

Grounded context

Retrieve from selected sources.

2

Independent updates

Change knowledge without training a model.

3

Clear boundaries

Low evidence can trigger no-answer or escalation.

Good use cases

  • Customer knowledge portal
  • Product and process guidance
  • HR assistant
  • Document search

Relevant Guyche capabilities

  • Web and file ingestion
  • Hybrid retrieval
  • Confidence and citations
  • Source versions and reindexing
FAQ

Frequently asked questions

Direct answers to common questions before choosing this approach.

What is RAG?

It retrieves relevant information from defined sources before asking the model to compose an answer.

When does a new file affect answers?

After processing and indexing complete, the new knowledge version becomes retrievable.

What if the answer is absent?

Policy can acknowledge uncertainty, ask for context, or hand the conversation to a person.

Guyche AI

Build a conversational knowledge base

Select sources, process them, and publish with an appropriate confidence policy.