
In this video, I'm taking a quick look at Lepton Search, an open source project Built in TypeScript/Javascript and Python . It's a interesting tool that lets users fork and build their own version of a Perplexity style application. I'll also be showing how Lepton Search can be integrated with various search engines such as Bing or Google. I'm going to give you an overview of the project and its features, they include built-in support for LLMs (Language Models) and compatibility with multiple search engines. What I find particularly great is that we can easily customize the user interface (UI) because it's built in TypeScript. Another thing I'll highlight is the ability to share and cache search results within the implementation – it's a super handy feature. And to wrap up, I'll talk about Lepton AI's hosted platform, which offers a great solution for deploying AI applications for those of us who don't want to get into managing servers or doing DevOps work. Repo: https://github.com/leptonai/search_with_lepton Lepton: https://www.lepton.ai/
--- type: transcript date: 2024-01-30 youtube_id: EAnRliAaYE8 --- # Transcript: Open Source Perplexity Clone with Lepton AI in 2 Minutes in this video I'm going to be showing you leptin search which is an open source project that allows you to easily build out your own version of perplexity so what's neat about this project is not only as an open source but it allows you to integrate it with a number of different search engines so you can integrate it with Bing or Google search I'd imagine there will be other options as well in time so just a quick overview of the project there's an Apache 2 license for the project itself it has built-in support for multiple llms as well as multiple search engines you can easily customize the UI since it's built in a familiar typescript environment it also has the ability within the implementation that you're able to share and cache the search results so say if you want to pass the link to Someone Like You Can on a service like perplexity you can do that within this as well it gives you a couple options where you can get started with a search engine so if you're using Bing you can head over to Bing and get your web search API or if you're going to be using Google search there's a few different Services where you can get started you could use this search API Sur or you can use Google's API itself to get started get this all installed you can go ahead pip install everything and then choose the specific steps for the API key that you chose the one thing to note is with a number of these API Keys you are able to get a handful of free requests if you're looking to try this out one option I did want to point out with this service is leptin AI does give you the ability to deploy these AI applications on their hosted platform so if you're not looking to manage servers or do all the devops work on actually setting up all these different things on provisioning the servers getting the llm set up making sure you have enough compute scaling it all of those different things leptin AI does give you the ability to sign up for a basic plan where you'll be able to explore a handful of different templates where you can go ahead and deploy different apps just like the lepin search like I had showed you you can go in click this you can set up your API Keys within this and then you can go ahead and deploy it so I'd encourage you to take a look at leptin explore what they have to offer there's a number of different things that you could do within here so you could deploy that search interface like I had shown you within the example or you can deploy a mixt endpoint or a mistal endpoint if you'd like they even have stable diffusion within here or deploying a whole stable diffusion UI if you'd like so there's a ton of different things that you can do within leptin AI I just wanted to show you another tool that you could find interesting and potentially useful depending on the use case that you're exploring so that's it for this video if you found this video useful please like comment share and subscribe and otherwise until the next one
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