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    Developer & data

    Automate Pinecone & Qdrant with AI agents

    Your own vector database for semantic search.

    [ API key ]
    What you can do

    Pinecone & Qdrant in MultiverseAI

    What the Pinecone & Qdrant integration supports today, and where it shows up in the product.

    Capabilities

    • Index, query and delete vectors
    • Semantic search in workflows and the agent
    Vector Database nodeAgent tool: vector_store

    How it connects

    [ API key ]

    Add your Pinecone & Qdrant credentials (api key) in Connections, then use them from workflows and the agent.

    Example workflows

    Agentic workflows with Pinecone & Qdrant

    Starting points you can build in the Workflow Builder or ask the agent for. Each step is a real node or tool.

    [ 3 examples ]
    [01]

    Webhook → AI → Pinecone & Qdrant

    1. 1

      Trigger

      Webhook trigger receives data from your app or form.

    2. 2

      AI Agent

      Write or transform the content with your instructions.

    3. 3

      Vector Database

      Run the Pinecone & Qdrant action you configure on the node.

    [02]

    Scheduled Pinecone & Qdrant automation

    1. 1

      Schedule Trigger

      Run on a schedule while the workflow is active.

    2. 2

      AI Agent

      Generate the content or decision for this run.

    3. 3

      Vector Database

      Hand the result to Pinecone & Qdrant.

    [03]

    Ask the agent to work with Pinecone & Qdrant

    1. 1

      AI chat

      Describe what you want done in Pinecone & Qdrant in plain language.

    2. 2

      vector_store tool

      The agent calls its Pinecone & Qdrant tool on your connected account.

    Connect Pinecone & Qdrant

    Put Pinecone & Qdrant to work with AI agents

    Create a free account, connect Pinecone & Qdrant in Connections, and build your first workflow.

    100 free credits to start
    No credit card required
    Cancel anytime