AI Chatbot / LLM Knowledge Assistant

Client problem

A technical team needed faster access to scattered documentation across PDFs, wikis, and project notes. Generic search was slow, and staff repeatedly asked the same questions in chat channels.

Solution built

RAG-based knowledge assistant for internal technical documentation with cited answers and access controls.

Technologies used

Implementation summary

1. 01 Collected and normalized source documents into a structured knowledge base.
2. 02 Built a RAG pipeline with chunking, embedding, and retrieval tuned for technical content.
3. 03 Implemented a chat interface with source citations and confidence boundaries.
4. 04 Added access controls so sensitive documents were only retrievable by authorized users.
5. 05 Tested against a set of real support questions from the client's team.

Business outcome

• — The assistant answers from indexed internal documentation and shows source citations.
• — Access controls limit retrieval to authorized users for sensitive documents.
• — Repeat documentation lookups that previously went to chat channels can be handled in the assistant interface.

Deliverables

• RAG pipeline and ingestion scripts
• Chat interface with citation display
• Access control configuration
• Prompt and retrieval tuning documentation