环境
Win11，WSL2，Ubuntu24.04

openviking-server --version
openviking-server 0.4.10

ov --help
OpenViking v0.4.11.dev0

一、相关文档

记忆提供程序

Memory Providers

openviking简介

openviking快速开始

在线服务

OpenViking Service（火山引擎云）

产品介绍

二、备份数据

停止服务

（Ctrl+C 或）pkill -f openviking-server

备份数据目录

cp -r ~/.openviking/data ~/.openviking/data_backup_qwen

三、切换vlm模型

 VLM（视觉语言模型）

doubao-seed-2-0-lite

面向企业规模化部署的轻量级全模态模型，支持文本、图片、语音、视频四模态跨模态联合理解。集成音画协同分析、长视频时序检索、全维度音频解析、代码开发、智能Agent与GUI闭环操作能力，适配大批量全模态推理业务场景。
输入：文本、图片、视频、音频

qwen3.6:27b
Qwen3.6 delivers substantial upgrades in agentic coding and thinking preservation than previous Qwen models.
vision tools thinking 27b 35b

qwen3.6:35b
Qwen3.6 delivers substantial upgrades in agentic coding and thinking preservation than previous Qwen models.
vision tools thinking 27b 35b

与前代 Qwen 模型相比，Qwen3.6 在智能体编码能力和思维链上下文保留两方面有大幅升级；具备视觉理解、工具调用、深度推理三大核心特性，提供 27B、35B 两个参数版本。

openviking-server init操作

uadmin@UD26:~$ openviking-server init

╭─────────────────────────────────────────────────────────╮
│  OpenViking Setup                                       │
│  Context database for AI agents — data in, context out  │
╰─────────────────────────────────────────────────────────╯
  Data will be stored under /home/uadmin/.openviking/data unless you edit ov.conf later.

  Existing config found: /home/uadmin/.openviking/ov.conf

  Current configuration
    Embedding:     openai · text-embedding-v4 (1024d)
    VLM:           openai · qwen3.6-flash
    Query planner: litellm · ollama/guoxuter/ov_intent_analysis_sft:v7_q8
    Server:        127.0.0.1:1933 · auth dev (no auth)

  What would you like to do?  ↑/↓ move · enter select

  ❯ Start over  (full setup, current config backed up as .bak)
    Update VLM  (now: openai · qwen3.6-flash)
    Update embedding  (now: openai · text-embedding-v4 (1024d))
    Update server & auth  (now: 127.0.0.1:1933 · auth dev (no auth))
    Cancel

选Update VLM
---------------------------------------------------------------------------------------

  ❯ Update VLM

  Current VLM: openai · qwen3.6-flash

  VLM provider:  ↑/↓ move · enter select

    VolcEngine (火山引擎)  (API)
    BytePlus  (API)
    OpenAI  (API)
    OpenAI Codex  (Subscription)
    Kimi  (Subscription API Key)
    GLM  (Subscription API Key)
  ❯ Custom (OpenAI-compatible)  (Any OpenAI-compatible endpoint)
    Local via Ollama  (no API key, runs on this machine)

选Local via Ollama
---------------------------------------------------------------------------------------

  ❯ Local via Ollama

  Checking Ollama... not installed
  Install Ollama now? [Y/n]:

输入n
---------------------------------------------------------------------------------------

  Install Ollama now? [Y/n]: n

  Manual install: https://ollama.com/download
  Continue without Ollama? [y/N]:

输入y
---------------------------------------------------------------------------------------

  Continue without Ollama? [y/N]: y

  Vision-language model (VLM) — parses documents & images:  ↑/↓ move · enter select · ← back

    Qwen 3.5 4B  (~3.4 GB)
    Qwen 3.5 9B  (~6.6 GB)
    Qwen 3.6 27B  (~17 GB, 256K ctx)
    Qwen 3.6 35B  (~24 GB, 256K ctx)
    Qwen 3.5 122B  (~81 GB)
    Gemma 4 E2B  (~7.2 GB)
  ❯ Gemma 4 E4B  (~9.6 GB) *
    Gemma 4 26B  (~18 GB)
    Gemma 4 31B  (~20 GB)

选Qwen 3.6 35B
---------------------------------------------------------------------------------------

  ❯ Qwen 3.6 35B

  Change: openai · qwen3.6-flash
      →    litellm · ollama/qwen3.6:35b

  Save configuration? [Y/n]:

---------------------------------------------------------------------------------------

  Save configuration? [Y/n]: Y
  Existing config backed up to /home/uadmin/.openviking/ov.conf.bak.1
  OK Configuration updated

  Validate the setup now? (runs `openviking-server doctor`) [Y/n]:

---------------------------------------------------------------------------------------

  Validate the setup now? (runs `openviking-server doctor`) [Y/n]: Y

OpenViking Doctor

  Config:        PASS  /home/uadmin/.openviking/ov.conf
  Python:        PASS  3.11.15 (>= 3.10 required)
  Native Engine: PASS  variant=x86_avx2
  AGFS:          PASS  AGFS SDK 0.1.7
  Embedding:     PASS  openai/text-embedding-v4 api_base=https://dashscope.aliyuncs.com/compatible-mode/v1 dimension=1024 probe ok (dimension=1024)
  VLM:           PASS  litellm/ollama/qwen3.6:35b
  Ollama:        PASS  running at localhost:11434
  VikingBot:     PASS  VikingBot aligned with dev OpenViking auth
  Disk:          PASS  948.3 GB free in /home/uadmin/.openviking/data

  All checks passed.

  Start the server now? [y/N]:

---------------------------------------------------------------------------------------

  Start the server now? [y/N]: N

openviking-server init操作日志

uadmin@UD26:~$ openviking-server init

╭─────────────────────────────────────────────────────────╮
│  OpenViking Setup                                       │
│  Context database for AI agents — data in, context out  │
╰─────────────────────────────────────────────────────────╯
  Data will be stored under /home/uadmin/.openviking/data unless you edit ov.conf later.

  Existing config found: /home/uadmin/.openviking/ov.conf

  Current configuration
    Embedding:     openai · text-embedding-v4 (1024d)
    VLM:           openai · qwen3.6-flash
    Query planner: litellm · ollama/guoxuter/ov_intent_analysis_sft:v7_q8
    Server:        127.0.0.1:1933 · auth dev (no auth)

  What would you like to do?  ↑/↓ move · enter select

  ❯ Update VLM

  Current VLM: openai · qwen3.6-flash

  VLM provider:  ↑/↓ move · enter select

  ❯ Local via Ollama

  Checking Ollama... not installed
  Install Ollama now? [Y/n]: n

  Manual install: https://ollama.com/download
  Continue without Ollama? [y/N]: y

  Vision-language model (VLM) — parses documents & images:  ↑/↓ move · enter select · ← back

  ❯ Qwen 3.6 35B

  Change: openai · qwen3.6-flash
      →    litellm · ollama/qwen3.6:35b

  Save configuration? [Y/n]: Y
  Existing config backed up to /home/uadmin/.openviking/ov.conf.bak.1
  OK Configuration updated

  Validate the setup now? (runs `openviking-server doctor`) [Y/n]: Y

OpenViking Doctor

  Config:        PASS  /home/uadmin/.openviking/ov.conf
  Python:        PASS  3.11.15 (>= 3.10 required)
  Native Engine: PASS  variant=x86_avx2
  AGFS:          PASS  AGFS SDK 0.1.7
  Embedding:     PASS  openai/text-embedding-v4 api_base=https://dashscope.aliyuncs.com/compatible-mode/v1 dimension=1024 probe ok (dimension=1024)
  VLM:           PASS  litellm/ollama/qwen3.6:35b
  Ollama:        PASS  running at localhost:11434
  VikingBot:     PASS  VikingBot aligned with dev OpenViking auth
  Disk:          PASS  948.3 GB free in /home/uadmin/.openviking/data

  All checks passed.

  Start the server now? [y/N]: N

配置文件ov.conf

~/.openviking/ov.conf

  "vlm": {
    "provider": "litellm",
    "model": "ollama/qwen3.6:35b",
    "api_key": "no-key",
    "api_base": "http://localhost:11434",
    "temperature": 0.0,
    "max_retries": 2,
    "extra_request_body": {
      "num_ctx": 16384,
      "think": false
    }
  },

关于

      "num_ctx": 16384,
      "think": false

场景定位决定不需要超长上下文（后续看需求，酌情加大）
VLM 是工具型角色，不需要深度推理

四、切换embedding模型

doubao-embedding-vision

新版本Seed-1.6-embedding图文多模态向量化模型全新上线，主要面向图文多模向量检索的使用场景，支持图片输入及中、英双语文本输入，最长 8K 上下文长度。

输入：文本、图片、视频

（openviking不支持其他厂商嵌入模型的多模态能力）

qwen3-embedding

Qwen3 Embedding 基于 Qwen3 系列基座模型打造，提供了覆盖多种参数规模的全系列文本嵌入模型。提供0.6B、4B、8B 三个版本

openviking-server init操作

uadmin@UD26:~$ openviking-server init

╭─────────────────────────────────────────────────────────╮
│  OpenViking Setup                                       │
│  Context database for AI agents — data in, context out  │
╰─────────────────────────────────────────────────────────╯
  Data will be stored under /home/uadmin/.openviking/data unless you edit ov.conf later.

  Existing config found: /home/uadmin/.openviking/ov.conf

  Current configuration
    Embedding:     openai · text-embedding-v4 (1024d)
    VLM:           litellm · ollama/qwen3.6:35b
    Query planner: litellm · ollama/guoxuter/ov_intent_analysis_sft:v7_q8
    Server:        127.0.0.1:1933 · auth dev (no auth)

  What would you like to do?  ↑/↓ move · enter select

  ❯ Start over  (full setup, current config backed up as .bak)
    Update VLM  (now: litellm · ollama/qwen3.6:35b)
    Update embedding  (now: openai · text-embedding-v4 (1024d))
    Update server & auth  (now: 127.0.0.1:1933 · auth dev (no auth))
    Cancel

选Update embedding
---------------------------------------------------------------------------------------

  ❯ Update embedding

  Current embedding: openai · text-embedding-v4 (1024d)

  Embedding setup:  ↑/↓ move · enter select

  ❯ Cloud API  (VolcEngine, BytePlus, OpenAI)
    Local via Ollama  (no API key, runs on this machine)
    Lightweight CPU embedding  (llama.cpp, ~24 MB, no Ollama needed)

选Local via Ollama
---------------------------------------------------------------------------------------

  ❯ Local via Ollama

  Checking Ollama... not installed
  Install Ollama now? [Y/n]:

输入n
---------------------------------------------------------------------------------------

  Install Ollama now? [Y/n]: n

  Manual install: https://ollama.com/download
  Continue without Ollama? [y/N]:

输入y
---------------------------------------------------------------------------------------

  Embedding model — powers semantic search:  ↑/↓ move · enter select · ← back

    Qwen3-Embedding 0.6B  (1024d, ~639 MB)
    Qwen3-Embedding 4B  (1024d, ~2.5 GB)
  ❯ Qwen3-Embedding 8B  (1024d, ~4.7 GB) *
    EmbeddingGemma 300M  (768d, ~622 MB)

选择Qwen3-Embedding 0.6B
---------------------------------------------------------------------------------------

  ❯ Qwen3-Embedding 0.6B

  Change: openai · text-embedding-v4 (1024d)
      →    ollama · qwen3-embedding:0.6b (1024d)

  Save configuration? [Y/n]:

输入Y
---------------------------------------------------------------------------------------

  Save configuration? [Y/n]: Y
  Existing config backed up to /home/uadmin/.openviking/ov.conf.bak.2
  OK Configuration updated

  Validate the setup now? (runs `openviking-server doctor`) [Y/n]:

输入Y
---------------------------------------------------------------------------------------

  Validate the setup now? (runs `openviking-server doctor`) [Y/n]: Y

OpenViking Doctor

  Config:        PASS  /home/uadmin/.openviking/ov.conf
  Python:        PASS  3.11.15 (>= 3.10 required)
  Native Engine: PASS  variant=x86_avx2
  AGFS:          PASS  AGFS SDK 0.1.7
08:05:58 - LiteLLM:WARNING: get_model_cost_map.py:264 - LiteLLM: Failed to fetch remote model cost map from https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json: The read operation timed out. Falling back to local backup.
  Embedding:     PASS  ollama/qwen3-embedding:0.6b api_base=http://localhost:11434/v1 dimension=1024 probe ok (dimension=1024)
  VLM:           PASS  litellm/ollama/qwen3.6:35b
  Ollama:        PASS  running at localhost:11434
  VikingBot:     PASS  VikingBot aligned with dev OpenViking auth
  Disk:          PASS  948.3 GB free in /home/uadmin/.openviking/data

  All checks passed.

  Start the server now? [y/N]:

输入N
---------------------------------------------------------------------------------------

  Start the server now? [y/N]: N

---------------------------------------------------------------------------------------

这个警告可以忽略。
LiteLLM 在初始化时，会默认尝试从 GitHub 远程拉取一份 model_prices_and_context_window.json 文件，这份文件的作用是：
记录各云端 API 模型的 token 单价，用于计费、成本统计；
补充部分模型的上下文窗口、参数元数据。

---------------------------------------------------------------------------------------

再次执行就好了
uadmin@UD26:~$ openviking-server doctor

OpenViking Doctor

  Config:        PASS  /home/uadmin/.openviking/ov.conf
  Python:        PASS  3.11.15 (>= 3.10 required)
  Native Engine: PASS  variant=x86_avx2
  AGFS:          PASS  AGFS SDK 0.1.7
  Embedding:     PASS  ollama/qwen3-embedding:0.6b api_base=http://localhost:11434/v1 dimension=1024 probe ok (dimension=1024)
  VLM:           PASS  litellm/ollama/qwen3.6:35b
  Ollama:        PASS  running at localhost:11434
  VikingBot:     PASS  VikingBot aligned with dev OpenViking auth
  Disk:          PASS  948.3 GB free in /home/uadmin/.openviking/data

  All checks passed.

openviking-server init操作日志

uadmin@UD26:~$ openviking-server init

╭─────────────────────────────────────────────────────────╮
│  OpenViking Setup                                       │
│  Context database for AI agents — data in, context out  │
╰─────────────────────────────────────────────────────────╯
  Data will be stored under /home/uadmin/.openviking/data unless you edit ov.conf later.

  Existing config found: /home/uadmin/.openviking/ov.conf

  Current configuration
    Embedding:     openai · text-embedding-v4 (1024d)
    VLM:           litellm · ollama/qwen3.6:35b
    Query planner: litellm · ollama/guoxuter/ov_intent_analysis_sft:v7_q8
    Server:        127.0.0.1:1933 · auth dev (no auth)

  What would you like to do?  ↑/↓ move · enter select

  ❯ Update embedding

  Current embedding: openai · text-embedding-v4 (1024d)

  Embedding setup:  ↑/↓ move · enter select

  ❯ Local via Ollama

  Checking Ollama... not installed
  Install Ollama now? [Y/n]: n

  Manual install: https://ollama.com/download
  Continue without Ollama? [y/N]: y

  Embedding model — powers semantic search:  ↑/↓ move · enter select · ← back

  ❯ Qwen3-Embedding 0.6B

  Change: openai · text-embedding-v4 (1024d)
      →    ollama · qwen3-embedding:0.6b (1024d)

  Save configuration? [Y/n]: Y
  Existing config backed up to /home/uadmin/.openviking/ov.conf.bak.3
  OK Configuration updated

  Validate the setup now? (runs `openviking-server doctor`) [Y/n]: Y

OpenViking Doctor

  Config:        PASS  /home/uadmin/.openviking/ov.conf
  Python:        PASS  3.11.15 (>= 3.10 required)
  Native Engine: PASS  variant=x86_avx2
  AGFS:          PASS  AGFS SDK 0.1.7
08:38:37 - LiteLLM:WARNING: get_model_cost_map.py:264 - LiteLLM: Failed to fetch remote model cost map from https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json: The read operation timed out. Falling back to local backup.
  Embedding:     PASS  ollama/qwen3-embedding:0.6b api_base=http://localhost:11434/v1 dimension=1024 probe ok (dimension=1024)
  VLM:           PASS  litellm/ollama/qwen3.6:35b
  Ollama:        PASS  running at localhost:11434
  VikingBot:     PASS  VikingBot aligned with dev OpenViking auth
  Disk:          PASS  948.3 GB free in /home/uadmin/.openviking/data

  All checks passed.

  Start the server now? [y/N]: N

---------------------------------------------------------------------------------------

再次执行就好了
uadmin@UD26:~$ openviking-server doctor

OpenViking Doctor

  Config:        PASS  /home/uadmin/.openviking/ov.conf
  Python:        PASS  3.11.15 (>= 3.10 required)
  Native Engine: PASS  variant=x86_avx2
  AGFS:          PASS  AGFS SDK 0.1.7
  Embedding:     PASS  ollama/qwen3-embedding:0.6b api_base=http://localhost:11434/v1 dimension=1024 probe ok (dimension=1024)
  VLM:           PASS  litellm/ollama/qwen3.6:35b
  Ollama:        PASS  running at localhost:11434
  VikingBot:     PASS  VikingBot aligned with dev OpenViking auth
  Disk:          PASS  948.3 GB free in /home/uadmin/.openviking/data

  All checks passed.

配置文件ov.conf

~/.openviking/ov.conf

~/.openviking/ov.conf

  "embedding": {
    "dense": {
      "provider": "ollama",
      "model": "qwen3-embedding:0.6b",
      "api_base": "http://localhost:11434/v1",
      "dimension": 1024,
      "input": "text"
    }
  },

更换嵌入模型后，向量数据需要处理。

如果是少量测试数据，可以清理了。如果想保留数据可以重建向量数据。

五、清理向量数据

停止服务

（Ctrl+C 或）pkill -f openviking-server

备份数据目录

cp -r ~/.openviking/data ~/.openviking/data_backup_qwen

删除目录
rm -rf ~/.openviking/data/*
#mv ~/.openviking/data ~/.openviking/data1

重启服务会生成data目录

openviking-server

六、处理向量数据

启动服务

openviking-server

日志报错

openviking.storage.errors.EmbeddingRebuildRequiredError: Existing collection embedding metadata does not match current configuration. Rebuild is required before using the current embedding model, or set embedding.allow_metadata_override=true to keep existing vectors when only provider/model changed (dimension must remain the same).
    +------------------------------------

2026-07-26 08:42:11,110 - uvicorn.error - ERROR - Application startup failed. Exiting.

修改配置文件ov.conf

~/.openviking/ov.conf

在embedding下加入："allow_metadata_override": true

~/.openviking/ov.conf

  "embedding": {
    "dense": {
      "provider": "ollama",
      "model": "qwen3-embedding:0.6b",
      "api_base": "http://localhost:11434/v1",
      "dimension": 1024,
      "input": "text"
    },
    "allow_metadata_override": true
  },

再次启动服务

openviking-server

日志提示

2026-07-26 08:43:55,232 - openviking.storage.collection_schemas - WARNING - Embedding metadata changed (provider/model) but dimension is unchanged; embedding.allow_metadata_override=true, so the existing collection metadata will be rewritten and existing vectors kept. old={'dimension': 1024, 'model': 'text-embedding-v4', 'model_identity': 'text-embedding-v4', 'provider': 'openai'} new={'provider': 'ollama', 'model': 'qwen3-embedding:0.6b', 'dimension': 1024, 'model_identity': 'qwen3-embedding:0.6b'}

重建向量数据

看根目录有什么

ov ls viking:///

uadmin@UD26:~$ ov ls viking:///
cmd: ov ls viking:/// -l 256 -n 256
1. dir · 2026-07-26 01:05
   viking://resources
   本目录构成了 **Hermes Agent 框架**
   的核心技术文档体系，专注于指导开发者构建、配置及优化具备跨会话持久化记忆能力的智能代理系统。...

2. dir · 2026-07-26 01:08
   viking://user
   The `user` directory serves as a foundational component within a sophisticated, multi-agent AI
   assistant framework.

# 1. 重建全局资源库的向量（手动导入的文档、素材、公共资源）
ov reindex viking://resources/ --mode vectors_only --wait true

# 2. 重建默认用户的所有对话记忆与个人数据的向量
ov reindex viking://user/default/ --mode vectors_only --wait true

uadmin@UD26:~$ ov reindex viking://resources/ --mode vectors_only --wait true
status                completed
uri                   viking://resources
object_type           resource
mode                  vectors_only
scanned_records       12
rebuilt_records       17
deleted_records       0
would_delete_records  0
unsupported_records   0
failed_records        0
duration_ms           3035
warnings              []

uadmin@UD26:~$ ov reindex viking://user/default/ --mode vectors_only --wait true
status                completed
uri                   viking://user/default
object_type           user_namespace
mode                  vectors_only
scanned_records       34
rebuilt_records       36
deleted_records       0
would_delete_records  0
unsupported_records   0
failed_records        0
duration_ms           5087
warnings              []

测试

ov find "测试标记"

uadmin@UD26:~$ ov find "测试标记"
cmd: ov find --uri= -n 10 "测试标记"
10 results
Ranked by relevance · limit 10 final results

1. memory · Level 2 · score 0.556
   viking://user/default/memories/preferences/2026/07/24/凌晨开发_openviking-20260724.md
   测试标记为 openviking-20260724，开发者凌晨仍在开发中。

2. memory · Level 2 · score 0.441
   viking://user/default/memories/cases/viking记忆保存与搜索验证.md
   # viking记忆保存与搜索验证 ## Task Signature
   用户保存开发环境相关事实后，执行语义搜索验证记忆可被正确检索，再浏览viking根目录确认仓库结构...

3. memory · Level 1 · score 0.438
   viking://user/default/memories/cases/.overview.md
   No abstract available
...

ov find --help

重新生成语义摘要和重建向量索引

一般重建向量数据即可，不用重建语义摘要。

# 1. 全局资源库：重新生成语义摘要 + 重建向量索引
ov reindex viking://resources/ --mode semantic_and_vectors --wait true

# 2. 默认用户记忆库：重新生成语义摘要 + 重建向量索引
ov reindex viking://user/default/ --mode semantic_and_vectors --wait true

命令执行报错

uadmin@UD26:~$ ov reindex viking://resources/ --mode semantic_and_vectors --wait true
ov reindex viking://resources/ --mode semantic_and_vectors --wait true

╭─ Connection Error ───────────────────────────────────────────────────╮
│ Could not reach OpenViking. The server may be offline, or this       │
│ config points to the wrong URL.                                      │
╰──────────────────────────────────────────────────────────────────────╯

Next:
  ov config validate  Check the active config
  ov health           Run a quick server health check
  ov config switch    Switch to another config

# 这句命令更容易报错
uadmin@UD26:~$ ov reindex viking://user/default/ --mode semantic_and_vectors
ov reindex viking://user/default/ --mode semantic_and_vectors

╭─ Connection Error ───────────────────────────────────────────────────╮
│ Could not reach OpenViking. The server may be offline, or this       │
│ config points to the wrong URL.                                      │
╰──────────────────────────────────────────────────────────────────────╯

Next:
  ov config validate  Check the active config
  ov health           Run a quick server health check
  ov config switch    Switch to another config

openviking-server日志报错

2026-07-26 10:04:27,750 - openviking.models.embedder.openai_embedders - WARNING - OpenAI async embedding slow call provider=ollama model=qwen3-embedding:0.6b wait_ms=0.00 duration_ms=17759.37
2026-07-26 10:04:38,832 - openviking.models.embedder.openai_embedders - WARNING - OpenAI async embedding slow call provider=ollama model=qwen3-embedding:0.6b wait_ms=0.00 duration_ms=10156.07
2026-07-26 10:05:15,026 - openviking.models.embedder.openai_embedders - WARNING - OpenAI async embedding slow call provider=ollama model=qwen3-embedding:0.6b wait_ms=0.00 duration_ms=6433.25

[07/26/26 10:05:13] INFO                                                                                                                                                                            utils.py:3799
                             LiteLLM completion() model= qwen3.6:35b; provider = ollama
                    ERROR    Task was destroyed but it is pending!                                                                                                                            base_events.py:1785
                             task: <Task pending name='Task-381' coro=<LoggingWorker._worker_loop() running at
                             /home/uadmin/.local/share/uv/tools/openviking/lib/python3.11/site-packages/litellm/litellm_core_utils/logging_worker.py:120> wait_for=<Future pending
                             cb=[Task.task_wakeup()]>>

问题分析，可能是Ollama压力稍大，处理不过来

调整配置

Ollma环境变量

# 允许同时处理 2 个推理请求，VLM 与嵌入任务并行执行，避免完全串行排队
OLLAMA_NUM_PARALLEL=2
# 允许 2 个模型同时常驻显存，避免 VLM 和嵌入模型来回加载卸载
OLLAMA_MAX_LOADED_MODELS=2
# 开启 FlashAttention 硬件加速，降低显存占用、提升推理速度
OLLAMA_FLASH_ATTENTION=1 

ollama serve（重启Ollama）
启动日志能看见这个几个变量

测试Ollama

可是在一个窗口发送命令：ollama run qwen3.6:35b "写一篇1000字的人工智能科普文章" 后

再开新窗口（同时）执行（PowerShell）：

curl -Method Post -Uri "http://localhost:11434/api/embeddings" `
  -ContentType "application/json" `
  -Body '{"model": "qwen3-embedding:0.6b", "prompt": "测试文本"}' `
  -UseBasicParsing

#curl.exe --% -X POST http://localhost:11434/api/embeddings -H "Content-Type: application/json" -d "{\"model\": \"qwen3-embedding:0.6b\", \"prompt\": \"测试文本\"}"

查看执行时间（PowerShell）

Measure-Command { curl -Method Post -Uri "http://localhost:11434/api/embeddings" `
  -ContentType "application/json" `
  -Body '{"model": "qwen3-embedding-cpu:0.6b", "prompt": "测试文本"}' `
  -UseBasicParsing }

ov.conf配置

vlm模型从"num_ctx": 16384，改到8192（重启服务）（后来又改回去了）

嵌入模型调整

嵌入模型改为：qwen3-embedding-cpu:0.6b，自定义模型，需要制作（简单）

再次执行

uadmin@UD26:~$ ov reindex viking://resources/ --mode semantic_and_vectors --wait true
status                completed
uri                   viking://resources
object_type           resource
mode                  semantic_and_vectors
scanned_records       12
rebuilt_records       17
deleted_records       0
would_delete_records  0
unsupported_records   0
failed_records        0
duration_ms           51108
warnings              []

uadmin@UD26:~$ ov reindex viking://user/default/ --mode semantic_and_vectors
status                completed
uri                   viking://user/default
object_type           user_namespace
mode                  semantic_and_vectors
scanned_records       34
rebuilt_records       36
deleted_records       0
would_delete_records  0
unsupported_records   0
failed_records        0
duration_ms           59424
warnings              []

如果openviking-server日志里有报错，ov命令执行成功了，可以接受。

测试ov find

uadmin@UD26:~$ ov find "测试标记" -u viking://user/default
cmd: ov find --uri=viking://user/default -n 10 "测试标记"
10 results
Ranked by relevance · limit 10 final results

1. memory · Level 2 · score 0.556
   viking://user/default/memories/preferences/2026/07/24/凌晨开发_openviking-20260724.md
   测试标记为 openviking-20260724，开发者凌晨仍在开发中。

2. memory · Level 2 · score 0.443
   viking://user/default/memories/cases/viking记忆保存与搜索验证.md
   # viking记忆保存与搜索验证 ## Task Signature
   用户保存开发环境相关事实后，执行语义搜索验证记忆可被正确检索，再浏览viking根目录确认仓库结构...

3. memory · Level 1 · score 0.438
   viking://user/default/memories/cases/.overview.md
   No abstract available.

修改配置文件ov.conf

~/.openviking/ov.conf

在embedding下去掉："allow_metadata_override": true

重启openviking服务

# Ollama
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