Knowledge Base (RAG)

The Knowledge Base lets you index web pages into a Retrieval-Augmented Generation (RAG) store powered by Gemini File Search. Once indexed, you can query your stored documents during agentic workflows or chat with your knowledge base directly — perfect for research, documentation lookup, and building persistent context the agent can reference anytime.

Adding Pages

Index any open browser tab into a knowledge base. Each page's content is extracted, chunked, and embedded for semantic search.

• Click the Database (KB) icon in the chat toolbar
• Create a new knowledge base or select an existing one
• Click "+" on a store to open the Add Pages modal
• Select one or more open tabs and click "Add Pages"
• Pages are indexed and searchable within seconds

Updating Indexed Pages

Re-index a URL at any time to refresh its content. If you add a page that's already in the store, the old version is automatically replaced — no duplicates. Great for pages that change frequently like dashboards or documentation.

Chat with Your Knowledge Base

Switch to Knowledge Base mode using the Agent Mode selector (bottom-left of chat input). When a KB is selected, the mode automatically switches to "KB" — all your questions are answered from your indexed documents with citations and source references.

• Select a knowledge base from the Database dropdown
• The Agent Mode automatically switches to "KB"
• Type your question — the agent searches your indexed documents
• Responses include citations linking back to source pages

Example:
  Index 20 API docs → Ask "How do I authenticate with OAuth?"
  → Get a cited answer pulled from your indexed documentation

KB as Agent Context

Beyond direct chat, the knowledge base serves as context during full agentic workflows. When a KB is selected and you use Auto (Planner) mode, the agent can reference your indexed documents while planning and executing multi-step tasks — grounding its decisions in your specific documentation.

Managing Stores & Documents

• Click the Database icon to open the KB dropdown
• Click the chevron to expand a store and view its documents
• Use the "×" button on a document to remove it
• Use the trash icon to delete an entire knowledge base

Credits & Pricing

Knowledge base operations always use platform credits — your personal Gemini API key is not supported for KB operations due to permissioning requirements.

Tips for Best Results

• Index documentation, articles, and text-rich pages for best results
• Use descriptive store names to organize by project or topic
• Re-index pages after major content updates
• Start with Flash model for queries — upgrade to Pro for complex reasoning over your docs
• Clean, text-heavy pages work best — interactive apps or heavily JS-rendered pages may yield less useful results

Platform Availability