Scale AI VS Polygres
Scale AI VS Polygres对比，Scale AI 和 Polygres 有什么区别？
猜你喜欢
总结
Scale AI 总结
Deliver value from your AI investments faster with better data. Better data leads to more performant models. Performant models lead to faster deployment.
Scale AI 着陆页
Polygres 总结
Polygres turns Postgres into working memory for AI agents. Retrieve structured rows, connected relationships, semantic matches, and full-text results through one hybrid API. All without a separate vector store, graph database, or sync pipeline. Build grounded agents over the data you already have, with relational, graph, and vector context joined at the source. Use the managed cloud or self-host with our open source components. Polygres is currently free to use, just sign up!
Polygres 着陆页
比较详细信息
Scale AI 详细信息
| 类别 | AI开发者工具, 大语言模型 LLMs, AI模型, AI智能体, AI文本生成, AI研究工具 |
| Scale AI 网站 | https://scale.com?utm_source=toolify |
| 添加时间 | 2023年3月7日 |
| Scale AI 定价 | -- |
Polygres 详细信息
| 类别 | AI开发者工具, AI智能体, AI知识图谱, 人工智能接口, AI搜索引擎 |
| Polygres 网站 | https://polygres.com?utm_source=toolify |
| 添加时间 | 2026年8月26日 |
| Polygres 定价 | -- |
使用情况比较
如何使用 Scale AI？
Scale AI offers various products and services. You can explore their Scale Data Engine for data training, Scale GenAI Platform for generative AI, and Scale Donovan for AI-powered decision-making. You can also leverage their evaluation tools for AI models and applications. Contact them for a demo or to discuss your specific needs.
如何使用 Polygres？
Create a Polygres managed instance or install the open-source components on an existing PostgreSQL database. Connect your schema and use the SDK or retrieval API to submit a natural-language query with options such as graph traversal depth, filters, and token limits. Polygres combines relational, graph, vector, and text results into one ranked, token-ready context block that can be passed directly to an AI agent.
比较 Scale AI 和 Polygres 的优势
Scale AI的核心功能
- High-quality training data for AI models
- Scale Data Engine for data management and labeling
- Scale GenAI Platform for full-stack Generative AI
- Scale Donovan for AI-powered decision-making
- AI model evaluation and red teaming
- RLHF (Reinforcement Learning from Human Feedback)
Polygres的核心功能
- Unified relational, graph, vector, and full-text retrieval
- Native graph traversal over existing PostgreSQL foreign keys
- Fused hybrid search with dense HNSW, sparse, filtered, and semantic retrieval
- Token-ready context assembly for grounded AI agents
- Shortest-path, neighborhood, relationship, and multi-hop graph queries
- Managed cloud hosting and open-source self-hosting
- PostgreSQL-native data retrieval without a separate vector store or sync pipeline
比较使用案例
Scale AI的使用案例
- Developing self-driving car AI with high-quality training data.
- Building Generative AI applications using the Scale GenAI Platform.
- Improving AI model performance through supervised fine-tuning and RLHF.
- Evaluating the safety and robustness of AI models using SEAL Leaderboards.
- Integrating enterprise data into foundation models for strategic differentiation.
Polygres的使用案例
- Build grounded AI agents that retrieve customer records, orders, tickets, and related history
- Investigate failed transactions by combining semantic search with order, payment, and dispute relationships
- Create user-memory systems that retrieve relevant past interactions and connected data
- Query Wikipedia-scale datasets using hybrid indexes and graph relationships
- Provide support agents with ranked, database-backed context
- Develop recommendation and discovery systems using existing PostgreSQL data
Scale AI和Polygres的不同计划
Scale AI
对不起，没有数据
Polygres
$0 / forever
Open-source pgGraph and pgVector, runnable on any PostgreSQL instance, with community support.
$16 / month
Managed cloud database hosting with email and community Discord support. Currently free for now.
$256 / month minimum usage
Automated vertical and horizontal scaling, email and community Discord support, private Discord or Slack channel, and support hours from 8:00 AM to 5:00 PM.
$4,096 / month minimum usage
Coming soon. Includes dedicated database infrastructure, custom compliance, high availability, 24/7 support, and dedicated support and uptime SLAs.
Scale AI的流量
Scale AI 是月访问量为 569.9K 且平均访问时长为 00:01:50 的工具。 Scale AI 的每次访问页数为 2.52，跳出率为 48.73%。
最新流量情况
| 月访问量 | 569.9K |
| 平均·访问时长 | 00:01:50 |
| 每次访问页数 | 2.52 |
| 跳出率 | 48.73% |
Polygres的流量
Polygres 是月访问量为 29.2K 且平均访问时长为 00:00:44 的工具。 Polygres 的每次访问页数为 1.61，跳出率为 68.04%。
最新流量情况
| 月访问量 | 29.2K |
| 平均·访问时长 | 00:00:44 |
| 每次访问页数 | 1.61 |
| 跳出率 | 68.04% |
地理位置
Scale AI 的前 5 个国家/地区是：United States 32.67%, India 7.63%, Mexico 5.55%, Vietnam 5.40%, United Kingdom 4.65%
Top 5 国家/地区
 | 32.67% |
 | 7.63% |
 | 5.55% |
 | 5.40% |
 | 4.65% |
地理位置
Polygres 的前 3 个国家/地区是：United States 84.49%, India 15.16%, Mexico 0.34%
Top 3 国家/地区
| 84.49% |
| 15.16% |
| 0.34% |
流量来源
Scale AI 的 6 个主要流量来源是：vs_sourcesSearchOrganic 46.75%, 直接访问 36.52%, 外链引荐 6.20%, vs_sourcesSocialOrganic 5.84%, vs_sourcesGenAi 2.82%, 邮件 1.27%, vs_sourcesSocialPaid 0.29%, vs_sourcesDisplayAds 0.27%, vs_sourcesSearchPaid 0.04%, vs_sourcesAffiliate 0.00%
vs_sourcesSearchOrganic | 46.75% |
直接访问 | 36.52% |
外链引荐 | 6.20% |
vs_sourcesSocialOrganic | 5.84% |
vs_sourcesGenAi | 2.82% |
邮件 | 1.27% |
vs_sourcesSocialPaid | 0.29% |
vs_sourcesDisplayAds | 0.27% |
vs_sourcesSearchPaid | 0.04% |
vs_sourcesAffiliate | 0.00% |
流量来源
Polygres 的 6 个主要流量来源是：直接访问 43.28%, vs_sourcesSocialOrganic 34.37%, vs_sourcesSearchOrganic 14.81%, 外链引荐 4.00%, 邮件 1.48%, vs_sourcesGenAi 0.93%, vs_sourcesDisplayAds 0.49%, vs_sourcesAffiliate 0.25%, vs_sourcesSearchPaid 0.25%, vs_sourcesSocialPaid 0.12%
直接访问 | 43.28% |
vs_sourcesSocialOrganic | 34.37% |
vs_sourcesSearchOrganic | 14.81% |
外链引荐 | 4.00% |
邮件 | 1.48% |
vs_sourcesGenAi | 0.93% |
vs_sourcesDisplayAds | 0.49% |
vs_sourcesAffiliate | 0.25% |
vs_sourcesSearchPaid | 0.25% |
vs_sourcesSocialPaid | 0.12% |
Scale AI 或 Polygres哪个更好？
Scale AI 可能比 Polygres 更受欢迎。如您所见，Scale AI 每月有 569.9K 次访问，而 Polygres 每月有 29.2K 次访问。 所以更多的人选择了Scale AI。 因此，人们很可能会在社交平台上更多地推荐 Scale AI。
Scale AI 的平均访问持续时间为 00:01:50，而 Polygres 的平均访问持续时间为 00:00:44。 此外，Scale AI 的每次访问页面为 2.52，跳出率为 48.73%。 Polygres 的每次访问页面为 1.61，跳出率为 68.04%。
Scale AI 的主要用户是United States, India, Mexico, Vietnam, United Kingdom，分布如下：32.67%, 7.63%, 5.55%, 5.40%, 4.65%。
Polygres 的主要用户是 United States, India, Mexico，分布如下：84.49%, 15.16%, 0.34%。
查看其他对比
精选*
