Based on our record, Laravel seems to be a lot more popular than Amazon Kendra. While we know about 240 links to Laravel, we've tracked only 9 mentions of Amazon Kendra. 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.
Laravel is a PHP web framework used by developers around the world. In March 2024, they launched Laravel Cloud with a full lineup of updates. All dropped at once. - Source: dev.to / about 2 months ago
Laravel is a full-stack PHP framework that can be integrated with powerful front-end frameworks such as React or Vue.js. With Laravel, you’ll be creating websites and apps that are scalable and capable of growth. - Source: dev.to / 28 days ago
If you're planning to convert a backend server to an AI agent using function calling, avoid languages and frameworks that require developers to manually write JSON schemas, such as PHP Laravel and Java Spring RestDocs. - Source: dev.to / about 1 month ago
Using a full-stack framework with batteries-included, such as Wasp for JavaScript (React, Node.js, Prisma) or Laravel for PHP, takes the complexity out of piecing the different parts of the stack together. Since these frameworks are opinionated, they've chosen a set of tools that work well together, and the have the added benefit of doing a lot of work under-the-hood. In the end, the AI can focus on just the... - Source: dev.to / about 1 month ago
Laravel installed (version 8+ recommended). - Source: dev.to / about 2 months ago
In today's AI-driven business landscape, chatbots have become the primary interface between companies and their customers. The effectiveness of these AI assistants hinges on one critical factor: the quality and accessibility of the data they're trained on. Amazon Kendra offers a powerful solution - a fully managed service that intelligently indexes and retrieves information from multiple data sources, enabling... - Source: dev.to / about 2 months ago
The Q Business retriever is used to read the data from the index when users interact with the Q Business. You must specify the index type (in this example NATIVE_INDEX instead of using Amazon Kendra) and a reference to the index itself. - Source: dev.to / 9 months ago
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 / over 1 year 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: almost 2 years 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 2 years ago
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