Web research task status

{
  "data": {
    "run_id": "trun_2eef201ee9e84ae1a303dffcf39d6e4b",
    "interaction_id": "trun_2eef201ee9e84ae1a303dffcf39d6e4b",
    "status": "completed",
    "is_active": false,
    "warnings": [
      {
        "type": "warning",
        "message": "enable_events unset for pro. Setting to true by default. Consider setting to false explicitly if you do not want to track events for streaming."
      }
    ],
    "processor": "pro",
    "metadata": {},
    "created_at": "2026-07-22T15:47:21.790277Z",
    "modified_at": "2026-07-22T15:48:13.954642Z",
    "result": {
      "run": {
        "run_id": "trun_2eef201ee9e84ae1a303dffcf39d6e4b",
        "interaction_id": "trun_2eef201ee9e84ae1a303dffcf39d6e4b",
        "status": "completed",
        "is_active": false,
        "warnings": [
          {
            "type": "warning",
            "message": "enable_events unset for pro. Setting to true by default. Consider setting to false explicitly if you do not want to track events for streaming."
          }
        ],
        "processor": "pro",
        "metadata": {},
        "created_at": "2026-07-22T15:47:21.790277Z",
        "modified_at": "2026-07-22T15:48:13.954642Z"
      },
      "output": {
        "basis": [
          {
            "field": "license_details",
            "citations": [],
            "reasoning": "The user question asks for the top 3 open-source vector databases in 2026 and their license types. The field_answer lists three databases (Milvus, Qdrant, Weaviate) with their licenses (Apache 2.0 for Milvus and Qdrant; BSD 3-Clause for Weaviate). If we treat the field as answering the license details for three databases, it appears to address the requested scope (top 3 and their licenses). However, there is no explicit confirmation that these are the exact top 3 in 2026 or an ordering/ranking, and there are no citations or excerpts to verify the licenses. The completeness assessment should consider whether the answer fully satisfies the query as posed, including the exact identification of the top 3 and their licenses. Given the information, the answer covers three databases and provides license types, which aligns with the query. The lack of explicit verification or sources means we cannot confirm the support from excerpts provided. Therefore, completeness is true, but the supporting evidence from excerpts is indeterminable (likely false if excerpts are required).",
            "confidence": "medium"
          },
          {
            "field": "why_these_three",
            "citations": [],
            "reasoning": "The field_answer states that three top open-source vector databases are ranked by multiple sources in 2026 and mentions Redis comparison, Turing Post, Instaclustr, and Cake.ai as sources, but it does not name the three databases, nor does it provide the license types as requested. The field_description (not provided here) likely requires the actual three database names and their licenses. Because the answer omits the specific three databases and license information, it is incomplete. There are no excerpts provided to verify the claim, so support from excerpts cannot be established.\n\nAssessment rationale:\n- Completeness: false, since the three databases are not named and license types are not provided.\n- Excerpt support: false, due to lack of excerpts backing the specific assertion about the top three and their licenses.\n- If the user expected exact names and licenses, this field answer does not meet that requirement.\n",
            "confidence": "low"
          }
        ],
        "type": "json",
        "content": {
          "license_details": "- **Apache License 2.0** (Milvus, Qdrant): A permissive license requiring preservation of copyright and license notices, with an express grant of patent rights from contributors. Allows free use, modification, and distribution, including for commercial purposes.\n\n- **BSD 3-Clause License** (Weaviate): A permissive license similar to Apache 2.0, requiring preservation of copyright notices and prohibiting the use of contributors' names for endorsement without prior written permission.",
          "why_these_three": "Multiple independent 2026 sources (Redis comparison, Turing Post, Instaclustr, Cake.ai) consistently rank these three at the top among specialized open-source vector databases. They are all actively maintained, production-grade solutions widely used for AI applications, RAG (Retrieval-Augmented Generation), and similarity search workloads."
        },
        "output_schema": {
          "type": "object",
          "properties": {
            "license_details": {
              "type": "string",
              "title": "License Details"
            },
            "why_these_three": {
              "type": "string",
              "title": "Why These Three?"
            }
          },
          "required": [
            "license_details",
            "why_these_three"
          ]
        }
      }
    }
  },
  "h402": {
    "routeId": "research/web-task-async-status",
    "provider": "parallel",
    "selectedCandidateId": "research/web-task-async-status/parallel",
    "routing": "manual",
    "paidBy": "free"
  }
}