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How to store document indexes in the cloud with PageIndex

Use cloud mode so indexes are built and stored by PageIndex while you chat with your own model.

  • Research
  • Intermediate
  • 30 minutes
  • From the README
  • Any agent

Credentials. The PageIndex key gives access to your stored indexes.

Who it is forA team sharing indexed documents across services.

The problemRebuilding indexes per machine is wasteful.

The outcomeCloud-stored indexes reusable by doc_id.

What you need first

  • Python
  • An OpenAI API key (local mode) or a PageIndex API key (cloud mode)

Steps

  1. Set PAGEINDEX_API_KEY and OPENAI_API_KEY
  2. Create PageIndexClient with index set to cloud
  3. Submit the document
  4. Chat using the returned doc_id

Prompt for your agent

Submit <document> to PageIndex in cloud mode, then ask <question> from a second script using the same doc_id. Confirm both return consistent answers.

Caveat. Cloud mode stores your documents with PageIndex.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for VectifyAI/PageIndex and "Store document indexes in the cloud"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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