Build document-aware applications withyour real data
Explore example workflows for preparing and testing document knowledge. Your customer-facing assistant or support integration is built separately.
AI Agent Builders
Prepare document context for an assistant you are building.
- Connect help articles and product guides
- Extract text and split it into searchable chunks
- Test retrieval in the Playground
- Connect your application to your configured vector store
Sync a help center, check which passages answer common questions, then use the vector store in your own customer service assistant.
Internal Knowledge Teams
Search selected team documents in one project.
- Connect Confluence, Google Drive, and other supported sources
- Choose the documents to include
- Find relevant passages with semantic search
- Manage workspace access with organization roles
Sync an onboarding handbook and team policies into a project. Use the Playground to find relevant passages. Source permissions are not automatically reproduced in a downstream application; configure its access controls separately.
Documentation Teams
Prepare product documentation for a search experience you control.
- Load documentation from a website or GitHub repository
- Keep document groups in separate projects
- Review sync status and retry failed documents
- Use Connection Details to configure downstream retrieval
Load a documentation repository into a project, test questions against its content, then connect a documentation assistant directly to that project’s vector store.
Support Knowledge Teams
Make selected support material easier to find and reuse.
- Combine help articles, runbooks, and selected Jira issues
- Search the resulting document collection
- Inspect matching content before using it in an answer
- Schedule checks for updates to synced documents
Sync a runbook and selected resolved Jira issues. Search for relevant troubleshooting steps in the Playground, or build a separate support tool connected to the vector store.
What you can build
Prepare and test document retrieval here, then connect your own application to your vector store.
Semantic Search
Find documents by meaning, not just keywords. Ask questions in natural language and get relevant results.
Conversational AI
Build chatbots and AI assistants that can answer questions based on your actual documents.
Knowledge Discovery
Explore related passages across selected documents using semantic search.
Documentation Assistant
Help developers find API references, code examples, and technical documentation by meaning.
Ready to power your AI application?
Start loading your documents into a vector store today. Free to get started.