What is Mendable?
Mendable is an AI-powered search engine developed by SideGuide to assist developers in answering their queries automatically. It provides customized answers based on a userβs documentation and is designed to continually enhance its functionality by accumulating user feedback. Deployable with only a single line of code, it offers integrations with several platforms including Discord, Slack, Github, among others, and can be added as a chat-powered search bar in any area of a document or site. Mendable does not currently employ a userβs repositoryβs code but may incorporate this capability in the future while allowing users the option to not share their data. The AI is presently not open source but is deliberating towards transitioning to an open-source model.
How can Mendable improve my developer experience?
Mendable can drastically enhance your developer experience by providing automatically generated, custom-tailored answers based on your documentation. It continually learns and improves its functionality by gathering feedback, enabling users to correct the model when needed. In addition, Mendable comes with reporting insights that can assist in identifying difficulties and further enrich your developer experience. It also allows for easy deployment with a single line of code and even provides the flexibility to add a chat-powered search bar anywhere within your documentation or website.
How can I integrate Mendable with Discord, Slack and Github?
Mendable offers seamless integrations with platforms including Discord, Slack, and Github, simplifying its deployment process and increasing its functional reach for users. You can easily incorporate Mendable with your preferred platform for streamlined and efficient interactions. However, the exact steps for these integrations are not displayed on the website and may depend on the specific functionalities and requirements of these platforms.
Does Mendable require my data?
No, Mendable does not currently extract or view any data from your repositories or code. However, it has been mentioned that in the future there may be an option to include this ability, but users will have the choice to opt out of sharing their data. Mendable's approach to data is privacy-first.
How does Mendable customize its responses?
Mendable's response customization works through machine learning methods that tailor the AI's responses to a specific userβs documentation. Users can correct answers given by the model, and Mendable will subsequently learn from this feedback to enhance its functionality. Mendable's customization allows responses to continually improve over time, providing a more accurate and user-specific experience.
Can I deploy Mendable in my own website?
Yes, you can deploy Mendable on your own website. Mendable is built with a focus on easy and flexible deployment so the model can function as a technical AI helper anywhere. You can add Mendable's chat-powered search bar anywhere in your documentation or website with just one line of code.
What is Mendable's security compliance?
Mendable pays utmost attention to ensuring high security standards. It adheres to the SOC 2 Type II certification and employs multiple single sign-on systems including SAML 2.0, OpenID Connect, and OAuth 2.0. The platform utilizes a role-based access control system to ensure only appropriate levels of access are given and offers secure data connectors to various platforms like Google Drive, Salesforce, and others using OAuth 2.0.
How can Mendable assist in customer support and employee onboarding?
Mendable aids in customer support and employee onboarding by offloading routine query resolution. The AI is trained on technical resources to offer insightful answers to customer and employee questions, thereby streamlining communication and reducing the overall workload. This optimizes the efficiency of the support and onboarding processes, helping businesses manage these areas with more ease.
What are the use cases of Mendable?
Mendable is designed for a wide array of use cases that spans internal and external communication scenarios. These include utilization for documentation, knowledge-base assistance, customer success enablement, sales enablement, and as a product copilot. Essentially, Mendable can be deployed as a knowledgeable technical AI assistant, improving retention, decreasing tickets, increasing trust with prospects, and speeding up adoption.
How does Mendable facilitate building AI chat applications?
Mendable facilitates the building of AI chat applications by providing a platform where companies can train a secure AI on technical resources to deliver informative answers for customer and employee inquiries. Companies ranging from startups to Fortune 500 organizations can utilize this platform. Essentially, Mendable learns from specific needs and corrections implemented by users to continually improve its model. The AI chat applications built using Mendable are kept updated through continuous training.
Can I correct answers generated by the Mendable model?
Yes, Mendable allows users to correct the answers generated by the AI model. The model will instantly learn from the feedback and adapt its responses accordingly. This interactive way of learning enables the AI to improve over time, enhancing the quality of its replies and ensuring the chat applications remain updated.
Which companies have embraced Mendable?
Mendable has been trusted and utilized by a diverse range of companies, from small startups to Fortune 500 organizations. These companies have successfully deployed Mendable as a knowledgeable technical AI to aid them in various roles and functions.
What sort of single sign-on mechanisms does Mendable support?
Mendable supports multiple single sign-on mechanisms to ensure secure user authentication. This includes a comprehensive range of protocols such as SAML 2.0, OpenID Connect, and OAuth 2.0, thus providing flexibility in user authentication and enhancing Mendable's accessibility.
Does Mendable offer training for their AI?
Yes, Mendable offers AI training through a method of constant learning from user feedback. The model encourages users to correct its answers, learning instantly from this feedback to improve future responses. This continuous training keeps the AI updated and improves its ability to provide more accurate answers.
How does Mendable aggregate feedback?
Mendable aggregates feedback by encouraging users to correct the model's responses. These corrections are instantly learned by the model and integrated into its response mechanism. This continuous, feedback-driven learning allows Mendable to improve itself over time and keep its response system updated.
What kind of insights does Mendable reporting provide?
Mendable provides reporting insights to help developers identify barriers or blockers in their processes and make the necessary changes to improve their experience. Although the exact nature of these insights is not specified in the information provided, they aim at improving the developer's experience through informed decisions and effective measures.
How does Mendable handle data privacy?
Mendable prioritizes privacy-first features, providing custom private and open-source LLMs based on user needs. While it does not currently access any user repository's code, it may do so in the future, but users will always have the option to opt out of sharing their data. This ensures that privacy is maintained for all users.
What access control does Mendable offer for its users?
Mendable offers Role-Based Access Control (RBAC), which ensures only the right people have access to the right data. This system of access control provides an extra layer of security by limiting access based on the roles of individual users within an organization.
Is Mendable open source?
At present, Mendable is not open-source although it does have some open-source components and integrations. However, there are considerations being made to move towards an open-source model in the future.
What are requirements for Mendable's free trial offer?
Mendable's free trial offer applies to non-open source projects. Apart from this, it is currently available for free with open source projects. While the exact requirements for availing of the free trial are not explicitly mentioned, it can be inferred that users would need to sign up and create a project with Mendable.