Building Gen AI Apps: A Guide by Lyzr AI
Generative AI (GenAI) is changing the game in many industries. A McKinsey Global Survey suggests that 65% of businesses are regularly using Gen AI in their organizations.
And why not?
Building a custom Generative AI enterprise app allows you to provide information faster and answer queries better. You can generate new ideas and plan better strategies.
Imagine GenAI as a personalized app creating content based on your specific business needs. From data analysis to internal/external support, a GenAI app offers incredible possibilities.
It’s like having a creative assistant that never runs out of juice. Whatever your need, a custom Gen AI solution can be built to cater to it.
Ready to learn how to build GenAI apps?
Let’s dive in!
GenAI Software Development Process
Building a GenAI app starts with brainstorming what you want your app to do. Jot down all ideas, no matter how wild they seem.
Integrating an AI system into your existing processes can present challenges but also offers significant benefits in terms of efficiency and productivity.
Next, you have to define the app’s purpose – is it about content generation, customer support, or something else? A prior knowledge of how Gen AI works is a must, so you can better focus on core features.
Only with a solid plan, you can build a Gen AI solution
The core features of the app depend on the needs of the target audience – the intended users. To build powerful Generative AI apps, you must also consider the user experience.
You need something better than already existing tools. For example, check how easy it is to automate legal contract generation with Lyzr.
A clear concept and detailed planning are crucial. They help you stay on track and ensure a smooth development process.
Only with a solid plan can you learn how to build GenAI apps and implement the nitty-gritty of the actual development.
Several Generative AI developer tools are available depending on your use case and the complexity of customization. Here’s Lyzr integrating a prebuilt chatbot on a website via SDKs, for example.
Building GenAI Apps with Generative AI Tools
SaaS tools make building GenAI apps a breeze by offering pre-built, customizable solutions. These platforms offer a range of generative AI tools designed to enhance productivity and creativity.
Platforms like IBM watsonx and Vertex AI by Google Cloud bring together multiple tools that save you time and effort. Instead of building everything from scratch, you can better focus on how to build GenAI apps‘ unique features.
GenAI SaaS platforms are focused on delivering a fantastic user experience. By using them, you can implement Generative AI functionalities without being a machine learning expert. They ensure that your app is both powerful and user-friendly.
Whether you want to build an app for text generation or with enhanced artistic capabilities, various models are available.
SaaS tools help integrate different modules and frameworks to build a GenAI app
Scale and SnapLogic are popular Generative AI low-code SaaS tools. Cohere and Flowise are other such tools. These platforms come with extensive documentation and community support to help you build a GenAI app.
Although you might come across limitations (in one form or another) as HBR suggests, these SaaS tools do streamline app development.
They help integrate different modules and frameworks to build a cohesive GenAI app.
Building GenAI Apps with Third-Party APIs
Using third-party AI APIs is another way to build customized Generative AI applications. These APIs offer advanced generative models to integrate into your project.
Each generative AI tool offers unique features that can be integrated into your project to enhance its capabilities.
Although APIs can be more complex to implement than SaaS tools, they can significantly cut down on development time. Over three-fourths of developers use some APIs in their day-to-day development.
OpenAI, Gemini, and Anthropic are among the most popular APIs for Generative AI low-code development.
They offer state-of-the-art GenAI models that generate custom text and images. Apart from those, ElevenLabs and Synthesia are among the few that provide voice-generation capabilities. To build video-generation apps, you might want to try HeyGen AI.
The integration process usually starts with signing up for API keys from their respective sites.
Once you have the key, you need to set up your development environment. When everything is in place, you can start making API calls to access the functionalities.
It can be a code-intensive process at times. Different vector databases, frameworks, and user interface modules come with their own set of processes for developing Generative AI apps.Having clarity on what app you want to build makes it easy to choose the right Generative AI developer tools. A proper setup ensures a seamless incorporation of GenAI functionalities in your app.
You can connect different APIs for building Generative AI apps
Building GenAI Apps with Agent Frameworks
Large language model (LLM) frameworks are also incredibly useful Generative AI developer tools when building apps.
These frameworks often come with a new AI system that enables advanced functionalities like creating realistic images from natural language descriptions. These frameworks are trained on “huge sets of data” to understand natural language and enhance user interactions. They can make your app “smarter” and more intuitive.
These frameworks provide pre-trained models you can fine-tune for your specific needs. Once you install a framework and set up your development environment, you’re ready to explore their functionalities.
You can also integrate them with other tools and databases (via APIs) to enhance their capabilities.
LangChain, for instance, makes it easy to build apps powered by popular LLMs like Anthropic and OpenAI.
It’s an open-source framework with several tools to help you manage and deploy complex language models. LlamaIndex and Cohere are similar data frameworks for building LLM applications.
Although building GenAI apps with LLM frameworks can be as code-intensive as with APIs, the documentation is usually comprehensive. They provide plenty of examples and tutorials to help you get started.
You can build automated AI-based intelligent applications with just a few lines of code.
These GenAI dev tools provide advanced development experience and improved user experience, making your applications more engaging and effective.
Building GenAI Apps with Lyzr’s Low-Code Agent Framework
If you want to know how to build GenAI apps in an even easier and better customizable way, try Lyzr. Unlike typical development tools, Lyzr is a comprehensive service that provides pre-built, customizable GenAI apps (called agents). It’s designed for those who prioritize data privacy and security.
Lyzr’s GenAI agents can be tailored to various business uses, including sales, marketing, and customer support.Whether handling customer inquiries or optimizing internal processes, Lyzr comes in handy. This flexibility means you can easily automate multiple tasks and make data-driven decisions.
Lyzr’s AI agents can be tailored to design various business GenAI apps
One of Lyzr’s standout features is its focus on ultra-low-code deployment. Its plug-and-play app agents are equipped with functionalities such as retrieval-augmented generation (RAG), search capabilities, and data analysis. You can deploy these agents with a single line of code.
The development approach of Lyzr streamlines the process and allows you to launch powerful Generative AI apps with minimal technical involvement. You can have your custom GenAI app without deep machine-learning expertise.
The agents are designed to run on your local cloud environment, ensuring 100% data privacy and security.
By keeping your data within your preferred hosting environment, Lyzr ensures that sensitive information remains safe. This is a significant advantage over other GenAI app development solutions that rely on third-party APIs or the cloud.
A free Proof of Concept (POC) demo is offered to help you explore Lyzr’s capabilities. It also provides extensive enterprise round-the-clock support. Plus, you get a dedicated engineering team to help with onboarding. All you need to focus on is innovation.
With its seamless integration capabilities and customizable agents, Lyzr simplifies the GenAI app-building process.
Benefits of using Lyzr for GenAI
Lyzr stands out in the enterprise GenAI landscape due to its low-code framework and ease of deployment. Lyzr’s tools can create stunning visuals that enhance the overall user experience and engagement. This innovative approach makes it incredibly simple for businesses to build and deploy powerful AI applications.
Here are some of the prominent benefits that Lyzr’s GenAI framework offers:
1. Deploys GenAI apps 90% faster
Lyzr offers a full-stack framework that helps enterprises and startups launch AI apps fast. Lyzr’s tools can quickly generate images, making it easier to deploy visually rich applications. Its ultra-low-code deployment approach allows you to deploy AI agents with just a single line of code. It simplifies the creation of GenAI apps. You don’t require extensive AI tech expertise.
2. Integrates quickly and efficiently
The customized, pre-built AI agents plug into your system effortlessly. Lyzr’s tools can blend multiple images together, offering a range of customizable outputs. These plug-and-play AI apps can handle various business functions depending on your needs. Lyzr also supports over 200 custom LLM integrations and other tools and databases to enhance capabilities.
3. Automates complex workflows seamlessly
It offers customizable workflow automations to connect multiple AI agents. Lyzr’s tools excel at generating images, which can be integrated into automated workflows to enhance productivity. You can integrate these agents to create complex, automated workflows, and these automations can be tailored to fit specific business processes and needs. It improves overall work efficiency by reducing the number of repetitive tasks.
4. Ensures 100% data privacy and security
Lyzr deploys all tailored SDKs in your preferred local environment. Lyzr ensures that all generated images remain within your local environment, maintaining data privacy and security. It ensures all data remains with you, eliminating security concerns associated with using third-party GenAI APIs and SaaS tools. Keeping data within your infrastructure also helps you stay compliant with stringent data protection regulations.
5. Simplifies AI app management
Lyzr provides smooth white-glove onboarding and ongoing maintenance of your GenAI app agents. You get a centralized AI Studio (AI Management System) portal to monitor and manage all your agents. It provides insights into the performance of each agent, including their image generation capabilities. Plus, a dedicated team offers round-the-clock assistance to address all inquiries and resolve system issues.
The Future of Generative AI Applications
Building GenAI apps can be approached in various ways. GenAI tools support multiple programming languages, making them versatile for various development environments.
From using SaaS tools and third-party APIs to leveraging LLM frameworks, each method offers unique benefits.
If you’re wondering how to build GenAI apps efficiently, Lyzr stands out with its ultra-low-code deployment and focus on data privacy and security.
It simplifies development, integrates seamlessly with existing systems, and automates complex workflows.
So, brainstorm your app’s purpose, finalize its core features, and let Lyzr handle the rest. Lyzr ensures your apps are powerful, secure, and efficient, making it an ideal choice for enterprise GenAI development. Want to build a GenAI app? Book a demo with Lyzr.
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