ApyHub VS llama-retrieval-plugin

Most of the providers let you test the APIs right from a terminal in the platform. Brightdata also provides an interactive API Playground for developers to test and check SERP Ranking for multiple search engines. ApyHub also has an API Playground where you can test the APIs in the UI plus you can see the snippet of the provided input in cURL. DataForSEO and Oxylabs don’t provide any internal tool for API tests but provide cURL request code to test on API Clients

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At ApyHub we are dedicated to supporting developers and businesses in their journey to automate SEO tasks using APIs. Whether you're a small startup or a large enterprise, we would love to listen to your projects, understand your (unique) needs, and discuss how we can leverage APIs to improve your SEO practices. So, in whichever part of your journey you are, do not hesitate to reach out.

In this guide, we’ve explored the steps necessary to build, deploy, test, debug, and secure a serverless function using ApyHub for web and app development projects with a focus on Node.js. Starting from setting up your ApyHub environment, and developing your function, through deployment, testing, debugging, and securing your application, we’ve covered the essentials to get you up and running with serverless architecture. Serverless computing offers a compelling model for developers, eliminating much of the infrastructure management overhead and allowing you to focus on writing code that delivers value. By leveraging ApyHub and following best practices, you can ensure your serverless functions are efficient, reliable, and secure.

ApyHub does just that, offering a seamless interface to switch between APIs or combine them for stellar accuracy. It's like having the gauntlet of AI APIs on the development team.

@iamspathan and @nikoldimit from Apyhub might be wondering what's going on. It was nice interacting with them over the dev.to platform.

ApyHub: ApyHub's SERP Rank Checker is a cloud-based API that enables you to check Search Engine Results, Users can simply pass the search query and you will get the result for ranking of the pages. It offers up to 2 million API calls on a free plan. You can even use the visual API Playground to test the output beforehand.

ApyHub: Offers text, blog, or document summaries. (Also comes with an API for app integration.)

🌐 Visit our homepage here: https://apyhub.com/

Here we explored in detail some of the top tools and ways you can effectively watermark your videos, including using FFmpeg, OpenCV or MoviePy. Cloud-based APIs like Cloudinary, Zencoder or ApyHub can also be particularly beneficial for content creators, online education providers, or websites with various types of video content.

For the demonstration purpose, you will be guided with the prompt execution using the Lastmile AI. However, you are free to execute the prompt directly on ChatGPT or other LLMs. If you are a developer, you may programmatically execute the prompt or provide an API or a service to your customers.

For the demonstration purposes, we'll be making use of AiConig driven approach of LastMileAI. If you are new to the LastMileAI or AiConfig, I request you to please read the following blogs

Hope you had a lot of fun with the AiConfig, systematic instruction driven modern artwork using the AiConfig and LastMileAI workbook. That said, your creativity or imagination is the only limit.

Hope you had a lot of fun with the AiConfig, Prompt routing and using the LastMileAI workbook. Creativity or imagination is the limit. You can potentially create or build any useful AI based apps or service in a matter of minutes.

You need to do the following steps and tweak the prompts based on your requirements. Especially the context or the content for which you wish to perform the trend analysis. There are two ways with which you could execute the AiConfig. Here is the first option of using the config and load it up to LastMileAI and perform the cell by cell execution from top to bottom.

When it comes to the hands on, As a preference, AiConfig is the framework through which you will be presented with the prompt building mechanism. There are various reasons like easy to iterate, test and see the responses in real-time with the LastMileAI Workbook. When it comes to the Prompt Chaining I personally prefer the AiConfig and the Workbook approach. However, it's purely optional for this development.

Our team at LastMile AI built a Streamlit app powered by AIConfig that lets you experiment with OpenAI's strategies on your prompts.

Now that you have understood the meaning and importance of "Composition", you will be guided with the mechanism to have a hands-on experience. For this purpose, we'll be making use of AiConig driven approach of LastMileAI. If you are new to the LastMileAI or AiConfig, I request you to please read the following blogs

I would highly recommend you to start using the LastMileAI workbooks for building the prompt based apps. Download the AiConfig and then start playing with it. Finetune as per your requirements and design or develop an API to serve the prompt based AI Apps.

Mhh, a viable alternative might be to setup a locally hosted search engine, like SearX and then use a LLM in conjunction with the llama-retrieval-plugin, that also gives you a database that is human readable and the LLM can give direct links to the source.