Backed by powerful technology and comprising stellar features, ProProfs Knowledge Base software helps businesses build a central knowledge base platform for their customers as well as employees. It is an effective tool that is instrumental in decreasing customer tickets significantly. Using this software, companies can enhance collaboration among their employees, train their workforce and provide a smooth onboarding to new hires. It ensures compatibility with multiple devices including mobile phones, tablets, and laptops, thus providing anytime, anywhere accessibility to users.
With its smart settings and robust integrations with tools like Google Analytics, Slack, Microsoft Azure AD, Zendesk, Helpdesk, etc., the software proves to be a powerful knowledge management tool. It also provides a wide array of themes and designs using which firms can create visually appealing help sites. Besides this, it also empowers them to enhance the security of their knowledge base by assigning roles and permissions to different users.
I wanted a knowledge base solution for my internal team to coordinate and collectively work together. ProProfs helps to bring teams together to collaborate on ideas. Now we can easily share our information with anybody within the team easily.
Best features: We are using it for the last 1.5 years and found some best feature in our uses- - Roles and Permissions, - Integrations with multiple tools, - It's reporting feature
Based on our record, Amazon Kendra seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I recommend you look deeper at LangChain if you are not already familiar with it. You can also look at the aws-samples Github page; they have some great examples to get you started. For example, you could add Amazon Kendra to the mix. Connect it with one of its many sources, like Atlassian Confluence, and set up Langchain to utilize the Kendra retriever. And now you have a chatbot that can answer questions based... - Source: dev.to / 6 months ago
If you're doing this on AWS they already have a really contained solution for this. I'm sure Azure has a similar solution. I'll assume AWS - if so, AWS Kendra is a good place to start. This will give you performant natural language understanding and enterprise search support. Then you just need to map the rest of your desired functions to core AWS solutions. Source: 12 months ago
> > One of the most important capabilities of Bedrock is how easy it is to customize a model. Customers simply point Bedrock at a few labeled examples in Amazon S3, and the service can fine-tune the model for a particular task without having to annotate large volumes of data (as few as 20 examples is enough) I can't even. Does anyone remember Amazon Kendra [1]? They promised the same there. "Here's an ML powered... - Source: Hacker News / about 1 year ago
Amazon Kendra is now FedRAMP High Compliant. Amazon Kendra is now authorized as FedRAMP High in AWS GovCloud (US-West) Region. Amazon Kendra is a highly accurate intelligent search service powered by machine learning. Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they are looking for, even when it's scattered across multiple... - Source: dev.to / over 1 year ago
It supports using Lambdas for fulfilling specific duties, such as placing orders, as well as integrating into Kendra which is a ML powered search service. You can effectively have a conversation asking for information and it can intelligently look through your business domain and respond with answers in a naturally conversational way. - Source: dev.to / over 1 year ago
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