RAG
Enterprise RAG Assistant
A grounded assistant over the organisation's internal knowledge.
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The Challenge
Critical knowledge was scattered across wikis, tickets, and documents — impossible to search and easy to lose.
The Solution
Built a retrieval-augmented assistant with hybrid search, reranking, and strict grounding, so answers are accurate, cited, and access-controlled.
Key Achievements
- Delivered cited, grounded answers across enterprise knowledge
- Respected existing access controls end to end
- Reduced time spent hunting for internal information
Lessons Learned
Retrieval quality — not model choice — is where RAG projects live or die. Invest in chunking, hybrid search, and reranking.
Let's build something intelligent together.
Whether you're modernising a data platform or bringing agentic AI into production, I'd love to hear what you're working on.