Independent development / UK & US teams
AI chatbot for business
Help customers or staff find answers in the information your team maintains. I offer retrieval-augmented generation (RAG) chatbot development with a clear knowledge scope, source references and a route to a person when the answer is not supported.
Answer from an agreed knowledge base
A useful knowledge assistant starts with the source material. Identify which documents are current, which audience may read them and who is responsible for updates. A product manual, internal procedure and customer-facing FAQ have different access and maintenance needs.
The application retrieves relevant information for a question and uses it to prepare an answer. Retrieval helps ground the response; it still needs testing for missing, outdated or conflicting information.
What the build can include
- Knowledge preparation Inventory sources, identify owners and structure content for the chosen retrieval system.
- Search and answers Connect retrieval to a chat interface with useful source references.
- Access boundaries Apply the intended audience and document permissions before information reaches the answer.
- Human handoff Offer escalation when the source material does not support a confident answer.
Test the questions that matter
Prepare representative questions with expected supporting sources, including ambiguous questions, an answer that is absent and a request for information outside the user's access. Review the retrieved material as well as the final response.
Acceptance should cover source usefulness, fallback behavior and how updates reach the knowledge base. It should not assume that adding documents makes every answer correct.
Fit the assistant to the application
The interface may be a website widget, an internal workspace or an existing product. Authentication, conversation storage and staff review can be included in the application scope. For customer messaging, consider the separate WhatsApp workflow.
Provider options can include OpenAI file search or a separately managed retrieval layer. See OpenAI file search documentation. Data hosting, supported formats and costs are confirmed for the chosen setup.
Prepare your knowledge brief
Share the intended users, source types and approximate volume, how often content changes, required access rules and a handful of questions the assistant should answer. Use an initial sample cleared for sharing.
For the wider product, see AI full-stack development. For updating knowledge from business systems, explore n8n integrations.