Document RAG
PDFs, Notion, Confluence, Drive, SharePoint, and SQL sources.
Retrieval-augmented generation — done as a product, not a demo. We design chunking, hybrid search, reranking, evals, and guardrails so answers come from your data with sources you can trust.
USA Canada Europe SaaS Support Internal knowledge
In short
RAG (retrieval-augmented generation) development combines a large language model with search over your own documents — using embeddings, vector databases, hybrid retrieval, and evaluation — so the model answers grounded in your content instead of guessing from the public internet.
PDFs, Notion, Confluence, Drive, SharePoint, and SQL sources.
Vector + keyword (+ reranker) — not cosine-only search.
Golden sets, regression tests, and human review loops.
Source-backed answers in chat, search, or in-product copilots.
Per-tenant indexes or strict filters — no cross-contamination.
Data residency and private networking when compliance requires it.
A plain answer up front — we would rather not sell you something you do not need.
Bad chunking, embedding-only retrieval, missing citations, and no evals. We treat retrieval quality as a product requirement: measure it, regress it, and keep humans in the loop where risk is high.
We also ship the surrounding product — auth, admin for sources, feedback buttons, and logging — so ops teams can improve answers over time.
| Your need | Recommended |
|---|---|
| Knowledge that changes often | RAG |
| Consistent tone / format | Fine-tuning |
| One huge document per query | Long-context LLM |
| Private data that must stay controlled | RAG (+ private deploy) |
| Support / KB bots overall | RAG (often + light fine-tune) |
Typical range
Custom quote after scoping
Timeline
5 – 16 weeks
Team shape
1 AI lead · 1–2 engineers · client domain expert
Private deployments and multi-tenant isolation are scoped separately from simpler single-tenant SaaS RAG bots.
The people you meet in discovery stay involved through architecture, delivery, and launch — not a junior bench swap after the sale.
Scope, tradeoffs, and progress live in writing. You see working software in milestones inside our client portal with live chat.
Repos, infra, analytics, and documentation live in your accounts from day one. No agency lock-in at the end of the engagement.
English-first delivery, overlap hours where needed, NDA-friendly collaboration, and remote teams used to North American and European product standards.
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Say hello — ask about a project, timeline, or quote.