Claude · RAG

Answers from your own docs.

RAG-powered assistants on Notion, Drive, Confluence, SharePoint, and your intranet, with citations, permission-aware search, and Claude or GPT models tuned to your domain.

  • Claude & GPT
  • Permission-aware retrieval
  • Cited by default
Cited
Every answer linked to source
Permissioned
Users only see what they can access
Fresh
Continuous re-index
Evaluated
Golden-set regression testing

The problem

Nobody can find anything. So they ask the same person, again.

  • Knowledge scattered

    Docs live in Notion, Drive, Confluence, SharePoint, and a Slack channel from 2022. Search is useless.

  • Hallucinating chatbots

    Off-the-shelf assistants confidently make things up because they aren't grounded in your data.

  • Permission problems

    You can't roll out an assistant that shows a junior what the exec team wrote about them.

  • Stale answers

    The bot pulls a two-year-old policy because nothing re-indexes when docs change.

The solution

A grounded, permission-aware assistant.

  • Multi-source ingestion

    Connectors for Notion, Google Drive, Confluence, SharePoint, Slack, and custom sources.

  • Hybrid retrieval

    Vector + keyword + reranking. Freshness rules so stale content is deprioritized.

  • Permission mirroring

    Each user's ACLs enforced at query time, the assistant only sees what they can.

  • Cited answers

    Every response links to source documents with confidence indicators.

What's included

What we build.

  • PILLAR 01

    Ingestion & indexing

    Every source, always fresh.

    • Connectors for the major knowledge tools
    • Chunking, embedding, and enrichment pipelines
    • Continuous re-indexing on doc change
    • Deletion and PII scrubbing
  • PILLAR 02

    Retrieval

    The right passage, every time.

    • Hybrid vector + BM25 retrieval
    • Reranking with cross-encoders
    • Query rewriting and decomposition
    • Freshness and authority signals
  • PILLAR 03

    Answer generation

    Grounded, cited, honest.

    • Claude or GPT with structured prompts
    • Citations rendered inline
    • Refusal on low-confidence retrieval
    • Follow-up and clarification flow
  • PILLAR 04

    Access & governance

    Safe to open to the whole company.

    • Per-user ACL enforcement
    • SSO and audit logging
    • PII and secrets detection
    • Golden test set and eval loop

Process

Four stages. Piloted before wide rollout.

  1. 01

    Discover

    Inventory sources, users, permissions, and the questions the assistant must answer.

  2. 02

    Build

    Ingestion, retrieval, and answer pipeline built with evaluation harness.

  3. 03

    Pilot

    Small user group with feedback loop. Prompt and retrieval tuned against real questions.

  4. 04

    Scale

    Company-wide rollout with monitoring, dashboards, and ownership.

READY WHEN YOU ARE

Turn your docs into an assistant.

Tell us where your knowledge lives. We'll come back with a RAG architecture within one business day.

Ask the team

Tell us what you are working on. Someone from the team replies by email.