Documents and notes decision

Guru

A narrow, self-hosted knowledge-and-search workflow (connectors, vector index, cited answers, and a simple verification flow) is realistic to build, but matching Guru's enterprise compliance, hundreds of connectors, and professional services is not practical for a small team.

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You pay

Not priced

No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.

You’d pay instead

$100one-off80 h to build

$600/mo20 h/mo upkeep

No published price to break even against.

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Guru alternatives, with the arithmetic →

What a replacement has to do

  • Index sources, enforce permissions, serve cited answers to queries, surface verification status, keep content fresh

What it still won’t have

  • SOC 2 / HIPAA compliance posture and attestation
  • 100+ out-of-the-box connectors and maintained integrations
  • Enterprise-grade governance & auditing (centralized policy enforcement, formal audit trails)
  • Vendor-provided KM strategy, onboarding, and ongoing optimization services
  • Built-in DLP masking, SCIM/SSO integrations, and formally supported permission inheritance

What remains hard

  • Compliance and regulationSOC 2 Type II, HIPAA, GxP compliance
  • Integration maintenance100+ source connectors
Read the build prompt

First-year cost

No published price

Guru does not publish a price we could read, so there is nothing to compare against. What building costs is below.

Money you would actually spend

Keep paying
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Subscription price × seats × 12

Build it
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AI build —APIs + hosting —

Time you would spend

—

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What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal self-hosted knowledge layer using Postgres + Milvus (or Pinecone) for vectors, Python (FastAPI) backend, Redis for job queues, and a React admin UI. Implement: (1) connectors to sync Slack and a single file source (Confluence or Google Drive) into normalized documents; (2) permission-aware ingestion that attaches user/group ACL metadata and enforces it at query time; (3) a vector+metadata retrieval API and an LLM answering endpoint that returns answers with inline citations and source links; (4) a simple verification workflow to flag stale docs and route drafts to an email webhook; (5) a browser extension or side-panel that lets users ask questions and view cited answers. Out of scope: SOC 2 attestation, 100+ connectors, enterprise SSO/SCIM, and professional onboarding services. Include error handling, unit tests for ingestion+retrieval, integration tests for permission enforcement, and deployment manifests for a single Kubernetes cluster.
How we checked5 sources · 3/3 runs agreed · evidence score 61

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 5 cited sources+3
  • 3/3 assessment runs agreed+4
  • Hard moats found in the evidence-3
  • Evidence score61

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 5

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 2 moats quoted from the page