Together AI VS Polygres
Comparez Together AI VS Polygres, quelle est la différence entre Together AI et Polygres ?
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Résumer
Together AI résumer
Together AI Page de destination
Polygres résumer
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 Page de destination
Comparer les détails
Détails de Together AI
| Catégories | Outils pour développeurs AI, API d'IA, Modèles IA, Modèles IA Open Source, Grands Modèles de Langage LLMs |
| Site Web de Together AI | https://www.together.ai?utm_source=toolify |
| Temps supplémentaire | Juin 22 2025 |
| Together AI Tarification | -- |
Détails de Polygres
| Catégories | Outils pour développeurs AI, Agence AI, Graphe de connaissances AI, API d'IA, AI Moteur de Recherche |
| Site Web de Polygres | https://polygres.com?utm_source=toolify |
| Temps supplémentaire | Août 26 2026 |
| Polygres Tarification | -- |
Comparaison de l'utilisation
Comment utiliser Together AI ?
Users can interact with Together AI through easy-to-use APIs for serverless inference or deploy models on custom hardware via dedicated endpoints. Fine-tuning is available through simple commands or by controlling hyperparameters via API. GPU clusters can be requested for large-scale training. The platform also offers a web UI, API, or CLI to start or stop endpoints and manage services. Code execution environments are available for building and running AI development tasks.
Comment utiliser 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.
Comparer les avantages de Together AI et de Polygres
Caractéristiques principales de Together AI
- Serverless Inference API for open-source models
- Dedicated Endpoints for custom hardware deployment
- Fine-Tuning (LoRA and full fine-tuning)
- Together Chat app for open-source AI
- Code Sandbox for AI development environments
- Code Interpreter for executing LLM-generated code
- GPU Clusters (Instant and Reserved) with NVIDIA GPUs (GB200, B200, H200, H100, A100)
- Extensive Model Library (200+ generative AI models)
- OpenAI-compatible APIs
- Accelerated Software Stack (e.g., FlashAttention-3, custom CUDA kernels)
- High-Speed Interconnects (InfiniBand, NVLink)
- Robust Management Tools (Slurm, Kubernetes)
Caractéristiques principales de Polygres
- 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
Comparer les cas d'utilisation
Cas d'utilisation de Together AI
- Accelerating AI model training and inference for enterprises (e.g., Salesforce, Zoom, InVideo)
- Building AI customer support bots that scale to high message volumes (e.g., Zomato)
- Developing production-grade AI applications by unlocking data for developers and businesses
- Creating next-generation text-to-video models (e.g., Pika)
- Building cybersecurity models (e.g., Nexusflow)
- Achieving simpler operations, improved latency, and greater cost-efficiency for AI models (e.g., Arcee AI)
- Developing custom generative AI models from scratch
- Performing multi-document analysis, codebase reasoning, and personalized tasks
- Managing complex tool-based interactions and API function calls
- Generating and debugging code with advanced LLMs
- Executing visual tasks with advanced visual reasoning and video understanding
- Data tasks such as classification and structured data extraction
Cas d'utilisation de Polygres
- 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
Plan différent entre Together AI et Polygres
Together AI
Varies by model and token count
Prices are per 1 million tokens (input and output for Chat, Multimodal, Language, Code; input only for Embedding; image size/steps for Image models). Batch inference is available at an introductory 50% discount. Specific model prices range from $0.06 to $7.00 per 1M tokens depending on model size and type.
Varies by GPU type, per minute/hour
Deploy models on customizable GPU endpoints with per-minute billing. Supports various NVIDIA GPUs like RTX-6000, L40, A100, H100, H200. Prices range from $0.025/minute ($1.49/hour) for RTX-6000/L40 to $0.083/minute ($4.99/hour) for H200.
Per 1M Tokens processed
Pricing is based on model size, dataset size, and number of epochs. Supervised Fine-tuning (LoRA) ranges from $0.48 to $2.90 per 1M tokens. Full Fine-tuning ranges from $0.54 to $3.20 per 1M tokens. DPO (LoRA) ranges from $1.20 to $7.25 per 1M tokens. DPO (Full FT) ranges from $1.35 to $8.00 per 1M tokens.
Starting at $1.30/hour
State-of-the-art clusters with NVIDIA Blackwell and Hopper GPUs (H200, H100, A100) for optimal AI training and inference. H200 starts at $2.09/hr, H100 at $1.75/hr, A100 at $1.30/hr. GB200 and B200 pricing requires contact.
Per hour or per session
Together Code Sandbox is priced per vCPU ($0.0446/hour) and per GiB RAM ($0.0149/hour). Together Code Interpreter is priced per session ($0.03 for 60 minutes).
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.
Le trafic de Together AI
Together AI est celui avec 838.4K visites mensuelles et 00:01:57 durée moyenne des visites. Together AI a une page par visite de 3.15 et un taux de rebond de 42.30%.
Trafic des sites web les plus récents
| Visites mensuelles | 838.4K |
| Durée moyenne de la visite | 00:01:57 |
| Pages par visite | 3.15 |
| Taux de rebond | 42.30% |
Le trafic de Polygres
Polygres est celui avec 11.6K visites mensuelles et 00:00:12 durée moyenne des visites. Polygres a une page par visite de 1.40 et un taux de rebond de 92.09%.
Trafic des sites web les plus récents
| Visites mensuelles | 11.6K |
| Durée moyenne de la visite | 00:00:12 |
| Pages par visite | 1.40 |
| Taux de rebond | 92.09% |
Trafic géographique
Les 5 premiers pays/régions pour Together AI sont :United States 28.99%, India 10.64%, Pakistan 6.88%, Thailand 3.39%, China 2.11%
Top 5 Pays/régions
 | 28.99% |
 | 10.64% |
 | 6.88% |
 | 3.39% |
 | 2.11% |
Trafic géographique
Les 1 premiers pays/régions pour Polygres sont :United States 100.00%
Top 1 Pays/régions
| 100.00% |
Sources du trafic du site web
Les 6 principales sources de trafic vers Together AI sont :Direct 39.42%, vs_sourcesSearchOrganic 33.83%, Sites référents 10.70%, vs_sourcesSearchPaid 7.11%, vs_sourcesSocialOrganic 4.46%, vs_sourcesGenAi 3.15%, E-mail 0.79%, vs_sourcesSocialPaid 0.31%, vs_sourcesDisplayAds 0.22%, vs_sourcesAffiliate 0.00%
Direct | 39.42% |
vs_sourcesSearchOrganic | 33.83% |
Sites référents | 10.70% |
vs_sourcesSearchPaid | 7.11% |
vs_sourcesSocialOrganic | 4.46% |
vs_sourcesGenAi | 3.15% |
E-mail | 0.79% |
vs_sourcesSocialPaid | 0.31% |
vs_sourcesDisplayAds | 0.22% |
vs_sourcesAffiliate | 0.00% |
Sources du trafic du site web
Les 6 principales sources de trafic vers Polygres sont :Direct 57.14%, vs_sourcesSocialOrganic 21.37%, vs_sourcesSearchOrganic 13.47%, Sites référents 5.27%, E-mail 2.75%, vs_sourcesGenAi 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
Direct | 57.14% |
vs_sourcesSocialOrganic | 21.37% |
vs_sourcesSearchOrganic | 13.47% |
Sites référents | 5.27% |
E-mail | 2.75% |
vs_sourcesGenAi | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
Quel est le meilleur : Together AI ou Polygres ?
Together AI pourrait être un peu plus populaire que Polygres. Comme vous pouvez le voir, Together AI a 838.4K visites mensuelles, tandis que Polygres a 11.6K visites mensuelles. Ainsi, plus de personnes choisissent Together AI. Il y a donc de fortes chances que les gens recommandent davantage Together AI sur les plateformes sociales.
Together AI a une durée Avg.visit de 00:01:57, tandis que Polygres a une durée Avg.visit de 00:00:12. En outre, Together AI a une page par visite de 3.15 et un taux de rebond de 42.30%. Polygres a une page par visite de 1.40 et un taux de rebond de 92.09%.
Les principaux utilisateurs de Together AI sont United States, India, Pakistan, Thailand, China, avec la distribution suivante : 28.99%, 10.64%, 6.88%, 3.39%, 2.11%.
Les principaux utilisateurs de Polygres sont United States, avec la distribution suivante : 100.00%.
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