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.
Visit website↗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.
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 regulation
SOC 2 Type II, HIPAA, GxP compliance
- Integration maintenance
100+ source connectors
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
Time you would spend
—
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
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 checked
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.
- official productGuru home
- official pricingGuru pricing
- official docsGuru features
- open sourcelabring/FastGPT
- open sourceoutline/outline
Integrity checks
What held up, and what did not.
