10decodersYour documents deserve
to be answerable.
Stop letting institutional knowledge die in SharePoint folders, PDFs, and siloed wikis. RAG-powered knowledge bases turn your document estate into a live intelligence engine — with answers that cite sources, not hallucinations.
How it works
From scattered docs to
instant answers.
RAG isn't a chatbot with a disclaimer. It's a precise architecture: clean data, vector indexing, semantic retrieval, and a generative layer that cites everything it says.
Data Discovery & Cleanup
We audit your document estate — SharePoint, Confluence, Google Drive, legacy systems. Clean, deduplicate, and structure before anything touches an AI model. No garbage in, no garbage out.
Chunking, Embedding & Vector Indexing
Documents are split into semantic chunks, embedded into high-dimensional vectors, and indexed in a fast vector store — Pinecone, Weaviate, or Azure AI Search based on your stack. Retrieval latency under 200ms.
Retrieval-Augmented Generation
User queries trigger semantic retrieval — only the most relevant document chunks are passed to the LLM. Answers cite sources. Hallucinations are structurally minimised, not hoped away.
Interface & Integration
Deploy as a standalone chat interface, embed into Microsoft Copilot, Salesforce, or Teams, or expose via API. No rip-and-replace — it connects to what you already run.
Monitoring, Feedback & Continuous Tuning
Post-deployment we track retrieval quality, answer relevance, and usage patterns. Improvement cycles keep the knowledge base sharp as your data evolves.
Use cases
Where RAG
earns its cost.
The highest-ROI deployments we see across healthcare, financial services, and enterprise operations.
Clinical Knowledge Copilot
Surface evidence-based insights from biomedical literature, clinical protocols, and patient records at consultation speed. No more manual literature mining mid-consult.
Contract & Compliance Q&A
Answer legal and compliance questions from contract libraries, regulatory filings, and policy documents instantly. Reduces outside counsel reliance for routine queries.
Engineering Knowledge Base
Query runbooks, architecture docs, incident post-mortems, and API specs in natural language. New engineers onboard in days, not months.
HR & Policy Copilot
Employees self-serve answers on leave policies, benefits, compliance procedures, and SOPs — without raising a ticket to HR for every routine question.
Financial Research Assistant
Synthesise insights across earnings calls, analyst reports, regulatory filings, and internal memos. Faster thesis generation, fewer missed signals in the data.
Training & Certification Platform
Turn training materials into an intelligent learning assistant. Employees ask questions; the system answers from approved content — not the open internet.
Integrations
Connects to your
existing stack.
No rip-and-replace. We integrate the knowledge layer into the tools your teams already use — without new login friction or parallel systems.
Why RAG over alternatives
Not all search is
created equal.
Keyword search retrieves documents. Fine-tuning costs a fortune and goes stale. RAG answers questions — accurately, at scale, with citations.
| Capability | Keyword Search | Fine-tuned LLM | RAG (10decoders) |
|---|---|---|---|
| Natural language queries | ✗ | ✓ | ✓ |
| Answers with source citations | ✗ | ✗ | ✓ |
| Stays current without retraining | ✓ | ✗ | ✓ |
| Low hallucination risk | ✓ | Partial | ✓ |
| Cost to update knowledge | Low | Very high | Low |
| Time to deploy | Days | Months | Weeks |
Ready to make your documents
actually useful?
Book a 30-minute discovery call. We'll assess your document estate, identify the highest-ROI deployment point, and scope a pilot you can measure in weeks.