# Build a company knowledge base your team can actually search.

> Connect Google Drive, Notion, Confluence, GitHub, Postgres, and PDFs. Definable indexes everything and lets your team ask questions in natural language — with citations on every answer.

## How Definable ships this

Multi-agent workflow. The Builder agent reads the prompt and plans the steps. The Executor runs each step across the user's connected apps. The Verifier checks every output and self-heals failed steps — rate limits, schema drift, off-brand responses — automatically.

## The problem

Your company's knowledge is fragmented across Notion, Confluence, Google Drive, Slack, GitHub, PDFs, and a Postgres database. New hires take months to learn where things live. Support repeats the same answers fifty times a week. Decisions get re-litigated because no one remembers what was already decided.

## How Definable solves it

Definable Knowledge Bases turns your scattered docs into one queryable interface. Connect any data source — Google Drive, Notion, Confluence, GitHub, Zendesk, Postgres, URLs with scheduled re-crawls — and Definable chunks, embeds, and indexes everything.

Ask questions in natural language. The Assistant retrieves relevant passages and synthesizes an answer with inline citations linking back to the source. Permissions from your source systems are preserved per-document; team members only see what they're authorized to see.

Your data stays yours. Knowledge bases are tenant-isolated, encrypted at rest, and never used to train models. Bring-your-own embedding model is supported (OpenAI, Cohere, Voyage, Jina, or open-source). Host in India, US, or EU.

## Steps

1. **Pick your data sources** — Connect Google Drive, Notion, Confluence, GitHub, Zendesk, a Postgres database, or upload PDFs directly.
2. **Definable indexes everything** — Documents are chunked, embedded with the model of your choice, and stored in a tenant-isolated vector index.
3. **Set up scheduled re-crawls** — URLs and SaaS sources stay fresh automatically. Files re-index on change.
4. **Query in natural language** — Team members ask questions in the Assistant. Answers include citations linking back to the source documents.

## Tools used

- [Definable Knowledge Bases](https://definable.ai/knowledge/)
- [Definable Assistant](https://definable.ai/assistant/)

## Frequently asked questions

### Does Definable train on my documents?

No. Your documents, prompts, and generated content are never used to train models — ours or any third party's. Contractual on every plan.

### What sources can I connect?

PDFs, DOCX, Markdown, SQL databases (Postgres, MySQL, BigQuery, Snowflake), URLs, Git repos, Google Drive, Notion, Confluence, Zendesk, Slack, email.

### Can I control who sees what?

Yes. Per-document ACLs preserve the permissions from your source systems. A user only sees answers grounded in docs they have access to.

## Related use cases

- [AI document analysis with citations on every answer.](https://definable.ai/use-cases/ai-document-analysis/)
- [AI tools for developers — pair-programming for any language.](https://definable.ai/use-cases/ai-for-developers/)

## Related

- HTML page: https://definable.ai/use-cases/build-company-knowledge-base/
- Use-cases index: https://definable.ai/use-cases/
- Workflow: https://definable.ai/workflow/
- llms.txt index: https://definable.ai/llms.txt