Knowledge Assistants & RAG
"Make institutional knowledge searchable, accurate, and current"
Retrieval-augmented generation across your documents, tickets, code, and chats — with permissions, citations, and lineage that compliance teams can audit.
Six RAG surfaces
Source ingestion
Connectors for SharePoint, Confluence, Drive, Notion, Slack, code repos.
Indexing & embedding
Chunking strategies, embedding models, and vector store selection.
Permissioned retrieval
Row-level access control so users only see what they should.
Citation & provenance
Every answer cites the source documents and timestamps.
Evaluation harness
Continuous evals: retrieval quality, answer accuracy, hallucination rate.
Cache & cost
Caching, model routing, and cost monitoring for large-scale rollouts.
A staged rollout
Pilot
Single source, single use case, single team — prove value.
Expand
Add sources, refine retrieval, deepen access controls.
Harden
Evaluation, monitoring, and incident playbooks for production traffic.
Scale
Roll out across functions, with cost and accuracy SLOs.
Related sub-services
Talk to us about RAG
Tell us about the documents and the use case. We will return with a staged pilot plan.