RAG & knowledge systems
Retrieval-augmented generation done properly: your policies, manuals, records and tickets made searchable and citable, so assistants answer from what your organisation actually knows.
All AI services
Answers from your own documents, with the source attached.
What we build with it.
The shapes this work usually takes. Yours will differ; the approach won't.
Internal knowledge assistants
Policies, procedures and past decisions answered for staff, with the paragraph it came from.
Customer self-service
Product documentation and account context turned into accurate, cited support answers.
Clinical and regulated content
Grounded answers from approved material, with version control and audit trails.
Search that understands
Semantic search across documents, tickets and records, with filters your teams already use.
Deliverables, not decks.
Everything is handed over as code, data and documentation you own. Nothing depends on us staying.
- Content audit: what to index, what to fix, what to exclude
- Ingestion pipeline with chunking, metadata and versioning
- Retrieval design: hybrid search, reranking, filters and permissions
- Answer generation with citations and abstention when unsure
- Evaluation set and nightly retrieval-quality scoring
- Admin tools for content owners
The engagement, step by step.
Audit the corpus
Real documents are messy. We find the duplicates, the stale versions and the gaps before indexing anything.
Build the question set
Real questions with known-good answers become the benchmark every retrieval choice is measured against.
Tune retrieval
Chunking, embeddings, hybrid search and reranking chosen by score on your data, not by blog post.
Ship with permissions
Answers respect who can see what. Content owners get tools to update and see the effect.
Chosen per project, by score and cost.
Our documents are a mess. Is that a blocker?
It is the usual starting point. The audit and ingestion work is where most of the quality comes from, and we scope it honestly up front.
Can it respect document permissions?
Yes. Retrieval is filtered by the user's permissions before generation, so an answer can never draw on something they couldn't open.
What if the answer isn't in the documents?
The assistant says so. Abstaining is a scored behaviour in our evals, not an afterthought.
Need rag & knowledge systems?
Tell us the problem. We'll come back within one business day with how we'd approach it.
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