GITBOOK-28: change request with no subject merged in GitBook

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潘辉燕 2023-12-13 07:56:51 +00:00 committed by gitbook-bot
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We offer a free plan for all users to test your AI app ideas, including 200 OpenAI model message calls. After using up the free allowance, you need to obtain LLM API keys from different model providers, and add them under **Settings --> Model Providers** to enable normal model capabilities.Upgrading your workspace to a paid plan means unlocking paid resources for that workspace. For example: upgrading to Professional allows creating over 10 apps (up to 50) with up to 200MB total vector storage quota combined across projects in that workspace. Different version quotas and features are as follows:
<table><thead><tr><th width="148">Metric</th><th width="237">Sandbox</th><th>Professional </th><th>Team</th></tr></thead><tbody><tr><td>pricing</td><td>Free</td><td>$59/month</td><td>$159/month</td></tr><tr><td><strong>Model Providers</strong></td><td>OpenAI,Anthropic,Azure OpenAI,Llama2,Hugging Face,Replicate</td><td>OpenAI,Anthropic,Azure OpenAI, Llama2,Hugging Face,Replicate</td><td>OpenAI,Anthropic,Azure OpenAI, Llama2,Hugging Face,Replicate</td></tr><tr><td><strong>Team Members</strong></td><td>1</td><td>3</td><td>Unlimited</td></tr><tr><td><strong>Apps</strong></td><td>10</td><td>50</td><td>Unlimited</td></tr><tr><td><strong>Vector Storage</strong></td><td>5MB</td><td>200MB</td><td>1GB</td></tr><tr><td><strong>Document Processing Priority</strong></td><td>Standard</td><td>Priority</td><td>Priority</td></tr><tr><td><strong>Logo Change</strong></td><td>/</td><td>/</td><td></td></tr><tr><td><strong>API Requests Quota Limits</strong></td><td>500 per day</td><td>Unlimited</td><td>Unlimited</td></tr><tr><td><strong>RAG API Requests Quota Limits</strong></td><td>/</td><td>coming soon</td><td>√coming soon</td></tr><tr><td><strong>Annotated Response Quota Limits</strong></td><td>10</td><td>2000</td><td>5000</td></tr><tr><td><strong>Agent Model</strong></td><td>/</td><td>coming soon</td><td>√coming soon</td></tr><tr><td><strong>Logs History</strong></td><td>30 days</td><td>Unlimited</td><td>Unlimited</td></tr></tbody></table>
<table><thead><tr><th width="148">Metric</th><th width="237">Sandbox</th><th>Professional </th><th>Team</th></tr></thead><tbody><tr><td>pricing</td><td>Free</td><td>$59/month</td><td>$159/month</td></tr><tr><td><strong>Model Providers</strong></td><td>OpenAI,Anthropic,Azure OpenAI,Llama2,Hugging Face,Replicate</td><td>OpenAI,Anthropic,Azure OpenAI, Llama2,Hugging Face,Replicate</td><td>OpenAI,Anthropic,Azure OpenAI, Llama2,Hugging Face,Replicate</td></tr><tr><td><strong>Team Members</strong></td><td>1</td><td>3</td><td>Unlimited</td></tr><tr><td><strong>Apps</strong></td><td>10</td><td>50</td><td>Unlimited</td></tr><tr><td><strong>Vector Storage</strong></td><td>5MB</td><td>200MB</td><td>1GB</td></tr><tr><td><strong>Document Processing Priority</strong></td><td>Standard</td><td>Priority</td><td>Priority</td></tr><tr><td><strong>Logo Change</strong></td><td>/</td><td>/</td><td></td></tr><tr><td><strong>Message Requests</strong></td><td>500 per day</td><td>Unlimited</td><td>Unlimited</td></tr><tr><td><strong>RAG API Requests Quota Limits</strong></td><td>/</td><td> Coming soon</td><td>√ Coming soon</td></tr><tr><td><strong>Annotation Quota Limits</strong></td><td>10</td><td>2000</td><td>5000</td></tr><tr><td><strong>Agent Model</strong></td><td>/</td><td> Coming soon</td><td>√ Coming soon</td></tr><tr><td><strong>Logs History</strong></td><td>30 days</td><td>Unlimited</td><td>Unlimited</td></tr></tbody></table>
Check out the [pricing page ](https://dify.ai/pricing)to learn more.
> **Vector storage:**Vector storage is used to store knowledge bases as vectors for LLMs to understand. Each 1MB can store about 1.2million characters of vectorized data(estimated using OpenAI Embeddings, varies across models). How much the data shrinks depends on complexity and repetition in the content.
>
> **Annotated Response:**The annotation feature lets you manually edit the replies to get customizable, high-quality question-answering. When turning this on in chat apps, there are limits on how many human edits you can make.
> **Annotation Quota Limits:**Manual editing and annotation of responses provides customizable high-quality question-answering abilities for apps.&#x20;
>
> **API Requests:**The number of times the Dify API is called per day through direct API requests or during web sessions. This counts how often you invoke Dify services via API, rather than LLM API resource consumption. **Note:Daily quotas are refreshed at midnight Pacific Standard Time.**
> **Message Requests:**The number of times the Dify API is called daily during application sessions (rather than LLM API resource usage). It includes all messages generated from your applications via API calls or during WebApp sessions. **Note:Daily quotas are refreshed at midnight Pacific Standard Time.**
>
> **RAG API Requests:**Refers to the number of API calls invoking only the knowledge base processing capabilities of Dify.