How to Set Up OpenClaw RAG Storage

OpenClaw RAG storage indexes documents so agents can pull relevant sections for responses. Fastio workspaces handle indexing when you enable Intelligence Mode. Just upload files. They process and become searchable.

No need for a separate vector database. Connect via the remote MCP server at https://mcp.fast.io/mcp to get started. Queries include citations to pages or sections.

Set up RAG pipelines that fetch context from workspaces. Good for knowledge bases, report analysis, and code reviews.

Practical example: Summarize key risks from multiple compliance docs with page citations. Constraint: Enable intelligence mode first. Outcome: Audit time drops .

Practical example: Query sales reports across multiple PDFs; gets cited summaries in seconds. Constraint: Limit to one workspace per query. Outcome: Cuts research from hours to minutes.

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More on this subject: OpenClaw Setup and Guides (199 guides)

Fastio workspaces support semantic search across files. Upload PDFs, docs, or code. Files index automatically.

Key benefits:

• No vector DB: Indexing runs automatically, no DevOps work needed. Agents storage.
• Citations: Links to pages, sections, or timestamps.
• Plans: Starter at $29/mo, Business at $99/mo, Growth at $299/mo. Pricing.
• Consolidated toolset: Orgs, workspaces, uploads, AI chat, shares. Docs.
• URL import: Drive/Dropbox without local files.
• Version history & audit log: Safe for multiple agents.

Other storage services handle basic files. Fastio adds RAG too.

Practical example: Summarize key risks from multiple compliance docs with page citations. Constraint: Enable intelligence mode first. Outcome: Audit time drops .

Practical example: Query sales reports across multiple PDFs; gets cited summaries in seconds. Constraint: Limit to one workspace per query. Outcome: Cuts research from hours to minutes.

Connect OpenClaw directly to Fastio's remote MCP server at https://mcp.fast.io/mcp using a scoped API key from https://mcp.fast.io/mcp/key.

Clients connect over a streamable HTTP URL, so nobody needs to install, run, deploy, or containerize an MCP server locally.

The consolidated MCP toolset enables agents to manage organizations, workspaces, file uploads, document chat, and shares.

Connection configuration:

{
  "mcpServers": {
    "fastio": {
      "url": "https://mcp.fast.io/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_FASTIO_API_KEY"
      }
    }
  }
}

Generate an API key or use PKCE browser login for agents. Start with a 14-day Business Trial.

Practical example: Connect MCP server; agents manage files via natural language. Constraint: Requires valid API key or PKCE login. Outcome: Eliminates manual file handling.

Add RAG Storage to OpenClaw

Persistent workspaces with built-in indexing once Intelligence is enabled. Connect via MCP, query docs with citations. Built for openclaw rag storage workflows.

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Have agents create an organization, then create a workspace within it.

Enable intelligence mode on the workspace. Upload files using one-time cloud import or direct uploads.

Files are indexed and searchable once Intelligence is enabled for the workspace.

Example workflow:

1. Create workspace "ProjectRAG"
2. Enable intelligence
3. Import docs from Drive/Dropbox
4. Query: "Summarize contracts"

Practical example: Summarize key risks from multiple compliance docs with page citations. Constraint: Enable intelligence mode first. Outcome: Audit time drops .

Log workspace IDs and tool calls for easy replication and debugging.

Practical example: Query sales reports across multiple PDFs; gets cited summaries in seconds. Constraint: Limit to one workspace per query. Outcome: Cuts research from hours to minutes.

Use document chat with citations and scoped queries for RAG.

Scope to a workspace or folder. Answers cite sources.

Add follow-up questions and inspect responses with source citations.

Example: Scope root, ask "Key risks in reports?"

Practical example: Summarize key risks from multiple compliance docs with page citations. Constraint: Enable intelligence mode first. Outcome: Audit time drops .

Log workspace IDs and tool calls for easy replication and debugging.

Validate with test documents before scaling to production data.

Practical example: Query sales reports across multiple PDFs; gets cited summaries in seconds. Constraint: Limit to one workspace per query. Outcome: Cuts research from hours to minutes.

Chain queries: summarize a folder, extract entities, generate a report.

Multi-agent setups: one indexes, another queries.

Activity polling or the WebSocket events feed handles change notifications. Version history and audit logs avoid conflicts.

Ownership transfer hands workspaces to humans.

Practical example: Summarize key risks from multiple compliance docs with page citations. Constraint: Enable intelligence mode first. Outcome: Audit time drops .

Log workspace IDs and tool calls for easy replication and debugging.

Validate with test documents before scaling to production data.

Practical example: Query sales reports across multiple PDFs; gets cited summaries in seconds. Constraint: Limit to one workspace per query. Outcome: Cuts research from hours to minutes.

• Limit scopes for faster results
• Track credit usage
• Use notes to ground responses
• Version files to track history

Practical example: Summarize key risks from multiple compliance docs with page citations. Constraint: Enable intelligence mode first. Outcome: Audit time drops .

Log workspace IDs and tool calls for easy replication and debugging.

Validate with test documents before scaling to production data.

Log workspace IDs and tool calls for easy replication and debugging.

Practical example: Query sales reports across multiple PDFs; gets cited summaries in seconds. Constraint: Limit to one workspace per query. Outcome: Cuts research from hours to minutes.