Polygres VS RunInfra
Polygres VS RunInfra 对比，Polygres 和 RunInfra 有什麼區別？
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總結
Polygres 總結
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 著陸頁
RunInfra 總結
Tell RunInfra what you need and it builds the production API. No dashboards. No config. Describe any open source model or full app in plain language. We optimize it for real: benchmark GPUs, quantize the model, generate custom CUDA kernels with our Forge agent. It runs faster and cheaper than standard hosting. Build voice (speech → AI → speech), doc search, vision, or model routing, all in one chat. Pay per million tokens. Scale to zero. Run managed or on your own GPUs.
RunInfra 著陸頁
比較詳情
Polygres 詳細信息
| 類別 | AI 開發者工具, AI 代理, AI 知識圖譜, AI API, AI搜尋引擎 |
| Polygres 網站 | https://polygres.com?utm_source=toolify |
| 添加時間 | 2026年8月26日 |
| Polygres 定價 | -- |
RunInfra 詳細信息
| 類別 | AI 開發者工具, 大型語言模型 LLMs, AI API, 開源AI模型 |
| RunInfra 網站 | https://runinfra.ai?utm_source=toolify |
| 添加時間 | 2026年7月7日 |
| RunInfra 定價 | -- |
使用對比
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.
如何使用RunInfra？
Describe your model workload or paste an open-source model from Hugging Face in plain English. RunInfra's automated system will draft an execution plan, benchmark the model across serving engines and GPU configurations, and optimize it. Once the optimal setup is found, you can deploy it as a fully managed API endpoint or export the containerized deployment kit to self-host on your own hardware.
比較 Polygres 和 RunInfra 的優點
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
RunInfra 的核心功能
- No-config plain language model deployment
- Automated serving engine benchmarking (vLLM, SGLang, TensorRT-LLM)
- Forge agent for custom CUDA kernel generation and tuning
- Multi-format model quantization (AWQ, GPTQ, FP8)
- Exportable, open-source stack deployment kits (Dockerfile, yaml)
- Scale-to-zero managed hosting with pay-per-million-token pricing
- Multi-cloud deployment targeting (RunInfra Cloud, Modal, RunPod, Vast.ai)
比較用例
Polygres 的用例
- 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
RunInfra 的用例
- Deploying open-source LLMs like Llama 3.3 or Qwen 2.5 with optimized latency and cost
- Building real-time multimodal voice pipelines using Whisper and vLLM-Omni
- Quantizing large models like Qwen 2.5 Coder 32B to fit onto smaller, cheaper GPUs
- Generating a fully transparent and exportable Docker stack for self-hosted enterprise AI workloads
Polygres 和 RunInfra 之間的計劃不同
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.
RunInfra
Free
$5 in free credits for new accounts to try out optimization and benchmarking.
$100 per month
Includes 105 credits ($1 = 1 credit). Includes quantization (AWQ, GPTQ, FP8), standard GPU access (T4, L4, L40S, A100, H100), managed scale-to-zero OpenAI-compatible endpoints, and exportable deployment kits.
Custom pricing
Includes everything in Core plus self-hosted and custom-GPU deployment, B200/H200 GPU access, audit logs, RBAC, SOC 2 Type II compliance, custom SLAs up to 99.99%, and a dedicated CSM.
Polygres 的流量
Polygres 是月访问量為 11.6K 且平均訪問時長為 00:00:12 的工具。 Polygres 的每次訪問頁數為 1.40，跳出率為 92.09%。
最新網站流量
| 月訪問量 | 11.6K |
| 平均訪問時長 | 00:00:12 |
| 每次訪問頁數 | 1.40 |
| 跳出率 | 92.09% |
RunInfra 的流量
RunInfra 是月访问量為 1.3K 且平均訪問時長為 00:00:04 的工具。 RunInfra 的每次訪問頁數為 1.08，跳出率為 66.96%。
最新網站流量
| 月訪問量 | 1.3K |
| 平均訪問時長 | 00:00:04 |
| 每次訪問頁數 | 1.08 |
| 跳出率 | 66.96% |
地理流量
The top 1 countries/regions for Polygres are:United States 100.00%
Top 1 Countries/regions
 | 100.00% |
地理流量
The top 2 countries/regions for RunInfra are:United States 86.78%, Pakistan 13.22%
Top 2 Countries/regions
| 86.78% |
 | 13.22% |
網站流量來源
Polygres 的 6 個主要流量來源是：直接 57.14%, vs_sourcesSocialOrganic 21.37%, vs_sourcesSearchOrganic 13.47%, 引薦 5.27%, 郵件 2.75%, vs_sourcesGenAi 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
直接 | 57.14% |
vs_sourcesSocialOrganic | 21.37% |
vs_sourcesSearchOrganic | 13.47% |
引薦 | 5.27% |
郵件 | 2.75% |
vs_sourcesGenAi | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
網站流量來源
RunInfra 的 6 個主要流量來源是：直接 48.56%, 引薦 41.39%, vs_sourcesSocialOrganic 7.00%, vs_sourcesGenAi 3.06%, 郵件 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%, vs_sourcesSearchOrganic 0.00%
直接 | 48.56% |
引薦 | 41.39% |
vs_sourcesSocialOrganic | 7.00% |
vs_sourcesGenAi | 3.06% |
郵件 | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
vs_sourcesSearchOrganic | 0.00% |
Polygres 或 RunInfra哪個更好？
Polygres 可能比 RunInfra 更受歡迎。如您所見，Polygres 每月有 11.6K 次訪問，而 RunInfra 每月有 1.3K 次訪問。 所以更多的人選擇Polygres。 因此，人們很可能會在社交平台上更多地推薦 Polygres。
Polygres 的平均訪問持續時間為 00:00:12，而 RunInfra 的平均訪問持續時間為 00:00:04。 此外，Polygres 的每次訪問頁面為 1.40，跳出率為 92.09%。 RunInfra 的每次訪問頁面為 1.08，跳出率為 66.96%。
Polygres 的主要用戶是United States，分佈如下：100.00%。
RunInfra 的主要用戶是 United States, Pakistan，分佈如下：86.78%, 13.22%。
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