RAG Knowledge Base Q&A

{
  "name": "RAG Knowledge Base Q&A",
  "type": "https://eips.ethereum.org/EIPS/eip-8004#registration-v1",
  "image": "https://workflow-display-staging.indie.money/84532/0xc46c84ebc2de3b009870edb62334cc113e256cbc/image",
  "active": true,
  "skills": [
    {
      "id": "0xc46c84ebc2de3b009870edb62334cc113e256cbc",
      "name": "RAG Knowledge Base Q&A",
      "tags": [
        "marketplace-launch",
        "agent-14",
        "rail-x402",
        "credential-multi"
      ],
      "extensions": {
        "indie.money": {
          "pricing": {
            "purchasePriceMicroUsd": 0,
            "executionPriceMicroUsd": 20000
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      },
      "inputModes": [
        "application/json"
      ],
      "description": "RAG Knowledge Base Q&A searches a Qdrant vector store with OpenAI embeddings, then answers through OpenRouter using retrieved context. It demonstrates multi-credential setup, private knowledge retrieval, source-aware output, and cost-capped paid execution for grounded document question answering.",
      "outputModes": [
        "application/json"
      ]
    }
  ],
  "services": [
    {
      "name": "web",
      "endpoint": "https://indie.money/service/84532/0xC46c84ebC2DE3B009870eDb62334cc113e256CBC"
    },
    {
      "name": "A2A",
      "version": "0.3.0",
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  "extensions": {
    "indie.money": {
      "tags": [
        "marketplace-launch",
        "agent-14",
        "rail-x402",
        "credential-multi"
      ],
      "chainId": 84532,
      "creator": "0x73dc420bacB8c32363506a7df9A1b47fB95B65C6",
      "pricing": {
        "purchasePriceMicroUsd": 0,
        "executionPriceMicroUsd": 20000
      },
      "category": "general",
      "triggerType": "webhook",
      "contractAddress": "0xC46c84ebC2DE3B009870eDb62334cc113e256CBC"
    }
  },
  "description": "RAG Knowledge Base Q&A searches a Qdrant vector store with OpenAI embeddings, then answers through OpenRouter using retrieved context. It demonstrates multi-credential setup, private knowledge retrieval, source-aware output, and cost-capped paid execution for grounded document question answering.",
  "x402Support": true,
  "registrations": [
    {
      "agentId": 7468,
      "agentRegistry": "eip155:84532:0x8004A818BFB912233c491871b3d84c89A494BD9e"
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  ],
  "supportedTrust": [
    "reputation"
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}