Install John Snow Labs’ Software

Each license includes the software libraries in all supported languages, the pre-trained models that are included with it, premium support, and all updates to the software & models that are released during the subscription period.

Two licensing options are available for the John Snow Labs libraries:

• An annual subscription, payable either once a year in advance.
• Pay-as-you-go subscriptions for the entire suite of libraries and models.

No. There is no limitation imposed on the number of characters, words or documents processed with the free or paid libraries. One monthly subscription gives you the right to run one Spark job at a given moment.

The pay-as-you-go license allows parallel use of as many Spark sessions as necessary. The parallel usages are metered and summed in your monthly invoice.

For annual subscriptions, the software will stop processing documents – for both training and inference. If you choose to buy a license, we will provide you with a new license key. Otherwise, you must uninstall the software. In any case, data you have already processed is yours to keep.

Pay-as-you-go free trials automatically convert to paid pay-as-you-go licenses at the end of the free trials. You can continue to use the license key but you will be charged based on your consumption.

Python.

We officially support AWS, Azure, GCP, OCI, Databricks, Snowflake, Cloudera, Colab, Kaggle, Docker and Kubernetes.

Yes. John Snow Labs NLP is used heavily in high-compliance industries like healthcare, life science, finance, and insurance where on-premise deployments are common. Most single-machine and Kubernetes distributions are supported.

Yes. Make sure to allocate enough memory & compute power for your use case.

Yes. Make sure to allocate enough memory & compute power for your use case.

This depends heavily on your use case. For training custom models based on the BERT family of embeddings, at least 8 cores and 64GB of memory are recommended. For inference, as little as 1 core and 16GB may be enough. Using GPU’s will usually provide faster execution at a higher cost.

For annual subscriptions, the cost depends on which edition you need (Healthcare, Visual, Finance or/and Legal), the level of support (8x5 or 24x7), and the number of licenses you need. Please email us with those details at sales@johnsnowlabs.com and we’ll reply with an exact quote.

Pay-as-you-go licenses are charged based on consumption per CPU or GPU per hour.

Online bank transfers (ACH or wire), checks, all major credit cards, as well as AWS or/and Azure credits.

Yes! Please email us to describe your situation and needs.

No. You install and run the software on your infrastructure. The software does not “call home” and no data or results are sent to John Snow Labs.

You do. We will never even see them.

This is not a SaaS solution – instead, you run the software on your infrastructure. Nothing ever gets sent to John Snow Labs or another third party. John Snow Labs NLP is designed for high-compliance, locked-down environments.

No, after an initial installation & downloading of pre-trained models.

Yes, an internet connection is necessary to establish the validity of your license key when starting your Spark session. For airgap deployments contact our sales team at sales@johnsnowlabs.com to accommodate your specific needs.

No.

Yes. John Snow Labs NLP is designed to enable you to train & tune your own models for most tasks.

Yes. Here’s an example: https://github.com/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/Certification_Trainings/Public/4.NERDL_Training.ipynb, section NERDL Model.

Yes. Here’s an example: https://www.youtube.com/watch?v=mfd_7a7HHwE&t=4s

Yes. Here’s an example: https://towardsdatascience.com/text-classification-in-spark-nlp-with-bert-and-universal-sentence-encoders-e644d618ca32

Absolutely! Here’s an example: https://github.com/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/Certification_Trainings/Public/2.Text_Preprocessing_with_SparkNLP_Annotators_Transformers.ipynb

The full list is available here. Expect the list to keep growing over time.

Email support@johnsnowlabs.com, call us at +1-302-786-5227, or start a chat on spark-nlp.slack.com. Paying customers get a private Slack channel, so that you can ask your questions privately.

Same business day 8x5 support is included with all subscriptions. We can also provide 24x7 support for production systems – please email us if you require it.

Yes. The Demos and Notebooks Hub includes links to runnable Google Colab notebooks in Python.

Here: nlp.johnsnowlabs.com/docs

The Medical Chatbot Professional version is provided as a Software-as-a-Service (SAAS) offering for healthcare professionals and researchers. This package includes a suite of features designed for optimal user experience and accuracy in medical assistance:

• Chat Interface: An intuitive and user-friendly chat interface facilitates seamless interactions, ensuring ease of use for all users.
• Healthcare-Specific Large Language Model: Our proprietary Large Language Model is fine-tuned specifically for healthcare applications, offering precise and contextually relevant responses.
• Daily Medical Knowledge Updates: The platform is regularly updated with the latest medical knowledge, ensuring that the information provided is current and accurate.
• Enhanced Medical Conversations: Designed to simulate natural and informative conversations, this feature allows for efficient patient engagement and information dissemination.
• Smart Ranking of References: This functionality prioritizes the most relevant and authoritative references, enabling users to access credible information swiftly.
• Robust Safeguards: Built-in safeguards are designed to maintain the integrity of the information provided, ensuring reliability and trustworthiness.
• Hallucination Prevention: Advanced mechanisms are in place to minimize the risk of generating inaccurate or misleading information, enhancing the platform's reliability.
• Searchable Bookmarks and Responses: This feature enables efficient retrieval of previously discussed topics and answers, streamlining the information search process.

The Enterprise edition of the Medical Chatbot is tailored for private deployment, focusing on the specific needs of your team and data. It offers a suite of features designed for organizations seeking the highest level of customization, security, and scalability:

• Private On-Premise Deployment: Ensures that the solution is installed and operated within your own infrastructure, providing complete control over data privacy and security.
• Unlimited Custom Knowledge Bases: Allows for the integration of custom knowledge bases, ensuring that your specific informational needs and nuances are addressed.
• Direct Integration with Your Data Sources: Facilitates seamless connection to your existing data sources, enhancing the relevancy and personalization of the information provided.
• Customizable Brand Voice and Safeguards: Offers the ability to tailor the solution’s interaction style to match your brand identity, alongside advanced safeguards to maintain data integrity and confidentiality.
• Unlimited Users and Groups: Supports an unrestricted number of users and group configurations, enabling wide-scale deployment across your organization without additional constraints.
• Role-Based Access Management: Implements granular access controls, ensuring that users only have access to appropriate levels of information and functionality based on their roles.
• Single Sign-On (SSO) Capability: Simplifies user authentication by integrating with your existing single sign-on systems, streamlining access for users.
• API Access: Provides comprehensive API access, allowing for custom integrations and enhancements to fit your unique operational workflows.
• Scalable Architecture: Designed with scalability in mind, this edition is capable of accommodating growth and evolving requirements, ensuring that the solution remains effective as your organization expands.

No. Professional accounts are for individual users. If you want your team to use the Medical Chatbot you must create individual accounts for all team members. Alternatively, you can opt for the Enterprise edition to deploy on your premises.

The monthly subscription costs $49.

All major credit cards.

The cost of the Enterprise Medical Chatbot is calculated based on your specific needs and the level of customization necessary. Please email us to describe your situation and needs.

You do not need any special setup for this. You can start chatting from your browser.

Yes. The Medical Chatbot can be used in high-compliance industries like healthcare, life science, finance, and insurance where on-premise deployments are common.

We recommend utilizing NVIDIA A100 80 GB instances with 8 GPUs.

When utilizing the Professional (SaaS) Edition, your queries are processed by our software. It is imperative to exercise caution to ensure that Protected Health Information (PHI) is never sent or included in chats with the Professional Edition.

In contrast, the Enterprise Edition does not share any data with John Snow Labs or any other third party, and is designed so that you can use it to analyze and discuss PHI and other sensitive content.

For analyzing PHI or PII data, use the Enterprise Medical Chatbot, designed for on-premise deployment with advanced security features. It employs rigorous authentication, authorization, and granular access control systems, allowing administrators to precisely manage who can access sensitive data.

It integrates seamlessly with LDAP and Active Directory for streamlined user management and supports standard security protocols like OpenID Connect and OAuth 2.0, ensuring compliance with best practices. Additionally, it offers social login capabilities for ease of use without compromising security.

Email support@johnsnowlabs.com, call us at +1-302-786-5227, or start a chat on spark-nlp.slack.com.

We provide 24x7 support for Enterprise deployments.

Here: https://nlp.johnsnowlabs.com/docs/en/chatbot/healthcare_gpt

Generative AI Lab is offered as a pay-as-you-go solution on cloud marketplaces. The software subscription includes:

• GPU support for enhanced speed of pre-annotation and training,
• Visual Document Understanding features as well as support for training Visual Document Classification and Visual NER models,
• Preannotation with LLM prompts and Zero-Shot prompts,
• 2,000+ Healthcare tuned embeddings and AI models for classification, entity extraction, entity resolution, relation extraction, and assertion status detection,
• Preannotation via rules, models, or prompts,
• Premium support.

No. There is no limitation imposed on the number of projects, users, or documents that can be annotated within the Generative AI Lab. No limitation on the number of models, prompts or rules you can define, test, train or tune with the Generative AI Lab.

Also, there is no limitation on the number of pre-annotations you run or on the number of models you can train.

Yes. You can install and use the Generative AI for free on your infrastructure, as a self-managed solution without support. To access visual document understanding or healthcare-specific features you will need to purchase a license key from https://my.johnsnowlabs.com.

Installation instructions are available here: https://nlp.johnsnowlabs.com/docs/en/alab/install

Yes. The Generative AI Lab will replace the NLP Lab products on the AWS and Azure Marketplaces. You can continue to use your existing subscription until the end of 2024, when we will end support for these products in these marketplaces.

We currently offer the product on AWS Marketplace. Azure deployments will come soon.

Yes. Generative AI Lab can be used in high-compliance industries like healthcare, life science, finance, and insurance where on-premise deployments are common.

Most single-machine, and Kubernetes distributions are supported.

Yes. Make sure to allocate enough memory & compute power for your use case.

This depends heavily on your use case. The minimal required configuration for on-premise deployments is 32GB RAM, 8 Core CPU, 512 SSD.

The recommended configuration to support model training and AI-assisted preannotations for a team building or validating text models is 64 GiB, 16 Core CPU, 512 SSD. The recommended configuration for teams using Document Understanding features and Visual model training is 4 GPU instances, with 48 CPU cores and 192 GB RAM, equivalent to g4dn.12xlarge AWS instances.

The software price is calculated based on usage and on the type of server where it is deployed.

Usage of Visual Document Understanding and of Healthcare features are charged based on consumption per CPU or GPU per hour.

Charges are reflected on your AWS bill.

Yes! Please email us to describe your situation and needs.

No. The software is designed to be installed and operated entirely within your own infrastructure. It is built with privacy and data sovereignty in mind, ensuring that it does not transmit any data or results outside of your controlled environment.

This architecture guarantees that your data remains within your jurisdiction, providing you with full control over its security and privacy.

You do. We will never even see them.

Our software is engineered specifically for environments that require strict compliance and robust security measures. It operates directly within your infrastructure, ensuring that all data processing occurs locally.

This means your data, including any Protected Health Information (PHI) or Personally Identifiable Information (PII), remains within your control at all times and is never sent to John Snow Labs.

We also provide the option to integrate with third-party Large Language Model (LLM) services, such as OpenAI, to leverage features like prompt-based pre-annotation and synthetic data generation. Should you decide to utilize these functionalities, the responsibility for implementing appropriate safeguards to securely and privately share PHI data with these external services rests with you.

It is crucial to ensure that any data sharing complies with your organization's privacy policies and relevant regulatory requirements to maintain the confidentiality and integrity of sensitive information.

Generative AI Lab does necessitate an active Internet connection for its operation. This requirement serves two primary purposes:

• Metering Usage Collection: An Internet connection is essential for transmitting usage data. This allows for accurate metering of your usage of the platform, ensuring that you are billed correctly based on your actual usage.
• Model and Pipeline Downloads: In order to utilize the advanced features of Generative AI Lab, such as pre-annotating documents, an Internet connection is required to download the necessary models and pipelines from the NLP Models Hub. This ensures that you have access to the latest and most efficient tools for your data processing needs.

We understand the importance of consistent and reliable access to these resources and functionalities, and an Internet connection ensures that Generative AI Lab can deliver its full capabilities to enhance your projects.

Email support@johnsnowlabs.com, call us at +1-302-786-5227, or start a chat on spark-nlp.slack.com. Paying customers get a private Slack channel, so that you can ask your questions privately.

Same business day 8x5 support is included with all subscriptions. We can also provide 24x7 support for production systems – please email us if you require it.

Here: https://nlp.johnsnowlabs.com/docs/en/alab/quickstart