[FEATURE] 为什么我search返回的结果和文档的格式不同，也没有得到想要的数据

[stormsea]

您好，我请求的数据是

        payload = {
            "query": query,
            "user_id": user_id,
            "retrieve_method": "vector",
            "memory_types": ["episodic_memory"],
            "top_k": 10,
            "radius": 0.2,
            "include_metadata": False,
        }

"group_id"有没有、"retrieve_method"是其他类型，结果都一样。

得到的响应是：

{
    "status": "ok",
    "message": "Memory search successful, retrieved 1 groups",
    "result":
    {
        "memories":
        [
            {
                "user_af0bac326c3b4974bd93c8f52a6f3c99_lover_c5b6f63900324fc3b751242d3055f5cc":
                [
                    {
                        "memory_type": "episodic_memory",
                        "user_id": "af0bac326c3b4974bd93c8f52a6f3c99",
                        "timestamp": "2026-01-23T07:29:44Z",
                        "ori_event_id_list":
                        [
                            "697323b16ca619f45c524b9d"
                        ],
                        "group_id": "user_af0bac326c3b4974bd93c8f52a6f3c99_lover_c5b6f63900324fc3b751242d3055f5cc",
                        "group_name": null,
                        "participants":
                        [
                            "af0bac326c3b4974bd93c8f52a6f3c99",
                            "c5b6f63900324fc3b751242d3055f5cc"
                        ],
                        "type": "Conversation",
                        "keywords": null,
                        "linked_entities": null,
                        "memcell_event_id_list":
                        [
                            "6973237b6ca619f45c524b95"
                        ],
                        "user_name": null,
                        "extend":
                        {
                            "_search_source": "vector",
                            "parent_type": null,
                            "parent_id": null
                        },
                        "vector_model": null,
                        "vector": null,
                        "id": "697323b16ca619f45c524b9d"
                    },
                    {
                        "memory_type": "episodic_memory",
                        "user_id": "af0bac326c3b4974bd93c8f52a6f3c99",
                        "timestamp": "2026-01-23T07:30:25Z",
                        "ori_event_id_list":
                        [
                            "697324286ca619f45c524bcc"
                        ],
                        "group_id": "user_af0bac326c3b4974bd93c8f52a6f3c99_lover_c5b6f63900324fc3b751242d3055f5cc",
                        "group_name": null,
                        "participants":
                        [
                            "af0bac326c3b4974bd93c8f52a6f3c99",
                            "c5b6f63900324fc3b751242d3055f5cc"
                        ],
                        "type": "Conversation",
                        "keywords": null,
                        "linked_entities": null,
                        "memcell_event_id_list":
                        [
                            "697323f36ca619f45c524bc7"
                        ],
                        "user_name": null,
                        "extend":
                        {
                            "_search_source": "vector",
                            "parent_type": null,
                            "parent_id": null
                        },
                        "vector_model": null,
                        "vector": null,
                        "id": "697324286ca619f45c524bcc"
                    },
                    {
                        "memory_type": "episodic_memory",
                        "user_id": "af0bac326c3b4974bd93c8f52a6f3c99",
                        "timestamp": "2026-01-23T07:34:30Z",
                        "ori_event_id_list":
                        [
                            "697324d76ca619f45c524bfa"
                        ],
                        "group_id": "user_af0bac326c3b4974bd93c8f52a6f3c99_lover_c5b6f63900324fc3b751242d3055f5cc",
                        "group_name": null,
                        "participants":
                        [
                            "af0bac326c3b4974bd93c8f52a6f3c99",
                            "c5b6f63900324fc3b751242d3055f5cc"
                        ],
                        "type": "Conversation",
                        "keywords": null,
                        "linked_entities": null,
                        "memcell_event_id_list":
                        [
                            "6973248c6ca619f45c524bf8"
                        ],
                        "user_name": null,
                        "extend":
                        {
                            "_search_source": "vector",
                            "parent_type": null,
                            "parent_id": null
                        },
                        "vector_model": null,
                        "vector": null,
                        "id": "697324d76ca619f45c524bfa"
                    },
                    {
                        "memory_type": "episodic_memory",
                        "user_id": "af0bac326c3b4974bd93c8f52a6f3c99",
                        "timestamp": "2026-01-23T07:37:51Z",
                        "ori_event_id_list":
                        [
                            "697326b36ca619f45c524c47"
                        ],
                        "group_id": "user_af0bac326c3b4974bd93c8f52a6f3c99_lover_c5b6f63900324fc3b751242d3055f5cc",
                        "group_name": null,
                        "participants":
                        [
                            "af0bac326c3b4974bd93c8f52a6f3c99",
                            "c5b6f63900324fc3b751242d3055f5cc"
                        ],
                        "type": "Conversation",
                        "keywords": null,
                        "linked_entities": null,
                        "memcell_event_id_list":
                        [
                            "6973267d6ca619f45c524c43"
                        ],
                        "user_name": null,
                        "extend":
                        {
                            "_search_source": "vector",
                            "parent_type": null,
                            "parent_id": null
                        },
                        "vector_model": null,
                        "vector": null,
                        "id": "697326b36ca619f45c524c47"
                    },
                    {
                        "memory_type": "episodic_memory",
                        "user_id": "af0bac326c3b4974bd93c8f52a6f3c99",
                        "timestamp": "2026-01-23T07:48:22Z",
                        "ori_event_id_list":
                        [
                            "697328ed6ca619f45c524c6f"
                        ],
                        "group_id": "user_af0bac326c3b4974bd93c8f52a6f3c99_lover_c5b6f63900324fc3b751242d3055f5cc",
                        "group_name": null,
                        "participants":
                        [
                            "af0bac326c3b4974bd93c8f52a6f3c99",
                            "c5b6f63900324fc3b751242d3055f5cc"
                        ],
                        "type": "Conversation",
                        "keywords": null,
                        "linked_entities": null,
                        "memcell_event_id_list":
                        [
                            "697328bd6ca619f45c524c6b"
                        ],
                        "user_name": null,
                        "extend":
                        {
                            "_search_source": "vector",
                            "parent_type": null,
                            "parent_id": null
                        },
                        "vector_model": null,
                        "vector": null,
                        "id": "697328ed6ca619f45c524c6f"
                    }
                ]
            }
        ],
        "scores":
        [
            {
                "user_af0bac326c3b4974bd93c8f52a6f3c99_lover_c5b6f63900324fc3b751242d3055f5cc":
                [
                    0.47882604598999023,
                    0.37882792949676514,
                    0.369572252035141,
                    0.324749231338501,
                    0.22512991726398468
                ]
            }
        ],
        "importance_scores":
        [
            0.0
        ],
        "original_data":
        [],
        "total_count": 5,
        "has_more": false,
        "query_metadata":
        {
            "source": "vector",
            "user_id": "af0bac326c3b4974bd93c8f52a6f3c99",
            "memory_type": "episodic_memory",
            "group_id": null,
            "limit": null,
            "email": null,
            "phone": null,
            "full_name": null
        },
        "metadata":
        {
            "source": "vector",
            "user_id": "af0bac326c3b4974bd93c8f52a6f3c99",
            "memory_type": "episodic_memory",
            "group_id": null,
            "limit": null,
            "email": null,
            "phone": null,
            "full_name": null
        },
        "pending_messages":
        []
    }
}

得到的数据很多，但是就是没有查询到的记忆内容（比如我喜欢吃什么等等），而且格式和文档上的也不同。我在mongodb里已经看到很多记忆了。
请问这是怎么回事，谢谢！

[freshpomelo]

We've fixed this bug in the next commit.

[cyfyifanchen]

Closing this as part of the EverOS 1.0 issue triage. This issue references the pre-1.0 API or retired infrastructure such as /api/v1/memories, /api/v3/agentic/*, MongoDB, Elasticsearch, Milvus, Redis, Kafka, longjob, or old memory type names. EverOS 1.0 uses POST /api/v1/memory/{add,flush,search,get} with Markdown + SQLite + LanceDB. Migration notes are tracked in PR #258: #258. If the same behavior still occurs on current main with the 1.0 API, please open a fresh issue with a 1.0 repro.

[cyfyifanchen]

Post-triage verification: keeping this closed because the response shape shown here is from the old /api/v1/memories/search contract. EverOS 1.0 documents and returns typed arrays under POST /api/v1/memory/search, including episodes with nested atomic_facts. If current 1.0 search still misses expected content, that should be a fresh bug with current request/response payloads.