Internal knowledge search
Help staff find relevant guidance across an approved document collection, with references they can inspect.
IT service
RAG pipelines
Connect AI answers to the documents and knowledge your team is allowed to use.
Useful for document search, internal knowledge assistants and source-backed product answers.
What the work covers
Prepare and index approved documents with a plan for updates and removal.
Retrieve relevant passages and attach source references to generated answers.
Apply access rules and evaluate representative questions, including missing or conflicting information.
Typical use cases
Document-backed assistants
Answer product or operational questions using retrieved material while making missing evidence visible.
Deliverables and handover
Depending on the agreed scope, delivery can include:
- A document ingestion and indexing flow with agreed formats, metadata and update behavior.
- Retrieval and answer generation connected to source references and access boundaries.
- An evaluation set covering useful answers, missing information, conflicting sources and retrieval failures.
Questions about this service
How is this different from a general chatbot?
A retrieval workflow searches an approved knowledge collection and passes relevant material into answer generation. It needs document preparation, retrieval rules and evaluation in addition to a conversational interface.
What happens when the documents do not contain an answer?
The fallback behavior is defined explicitly: for example, show the closest sources, state that evidence is insufficient or ask the user to clarify. This is included in the evaluation cases.
Discuss your project
Describe your document formats, update frequency, intended users and sample questions. Share non-sensitive examples of a useful answer.
Send a service inquiry →Before we begin
Before work begins, we agree on deliverables, timing, cost and required access.
We reply by email and arrange a call if useful.