Building AI applications with Unified and Langbase

February 27, 2025

Developers building AI applications for their customers face a common challenge: they need to juggle many different APIs and authorization flows, configure and manage multiple data pipelines, and deal with complex data models. What if you could focus on building amazing AI experiences without getting bogged down by all that complexity?

That's where the power of Unified.to's APIs combined with Langbase's serverless AI developer platform comes in. In this article, we'll look at how you can leverage these platforms to build sophisticated AI applications using your customers' data while writing significantly less integration and AI boilerplate code.

Why use Unified.to with Langbase?

When you pair Unified.to's normalized data access with Langbase's AI capabilities, you get:

• One API, many integrations: Instead of building separate integrations for each platform, use Unified.to's unified APIs to access normalized data from multiple data sources through a single, unified API. Langbase does the same for AI—with multi-agent orchestration and advanced long-term memory, seamlessly integrating AI capabilities. It supports 250+ LLMs through one API, ensuring a unified developer experience with easy model switching and optimization. It's an API-first platform, with simple Pipe and Memory Agent APIs for effortless integration.
• Unified authorization: Seamlessly handle authorization with Unified.to's pre-built components, creating a secure link between your app and your customers' data with just a few lines of code.
• Production-ready AI: Langbase Pipes and Memory Agents (serverless RAG agents with long-term memory) eliminate infrastructure management, making scaling and deployment seamless for all developers—not just AI/ML experts. Its composable AI infrastructure lets developers chain multiple models into AI pipelines, optimizing cost, performance, and personalization at every step.
• Real-time updates: Build dynamic applications using Unified.to's webhook system. Fine-tine AI models on the fly when your customers have new data, allowing your AI agent to provide more relevant responses.

Real-world applications you can build

Let's look at some practical applications you can create by combining these platforms.

Intelligent support bots

Build an AI-powered support bot that can answer questions using your customer's knowledge base, handle real-time inquiries, and maintain context across conversations. By combining Unified.to's KMS (Knowledge Management System) and messaging APIs with Langbase's Memory Agents , you can create a bot that gets smarter as your knowledge base grows.

The best part? Since you're using unified APIs, you can easily adapt this pattern for different platforms:

• Use Notion, Confluence or other KMS platforms for your knowledge base
• Deploy your bot on Slack instead of Discord

Want to build your own? Check out our step-by-step guide on building a Discord support bot.

AI-powered recruitment assistant

Create an intelligent recruiting assistant that streamlines your hiring process by automatically screening candidates, conducting initial interviews, updating candidates' application statuses, and providing detailed summaries to your hiring team. Using Unified.to's ATS integrations and Langbase Pipe agents, your assistant can handle the time-consuming parts of recruitment while maintaining a personal touch.

The unified approach means you can support multiple ATS platforms (Lever, Greenhouse, Workday, etc.) without rewriting your core logic.

Enhanced email agents

With Unified.to and Langbase, you can automate email responses and streamline communication. By combining Unified.to's email integrations with Langbase's composable multi-agent architecture, you can build an AI-powered email workflow that enhances efficiency and personalization.

Intelligent sales assistant

Supercharge your sales team with an AI assistant that understands your customer relationships, helps qualify leads, and generates personalized follow-ups based on past interactions. Using Unified.to's CRM integrations with Langbase's Memory Agents (that dynamically attach private data to any LLM at scale, with industry-leading accuracy in advanced agentic routing and intelligent reranking), you can create an assistant that becomes an invaluable part of your sales process. Create leads and deals in your CRM automatically and tap into Unified.to's Enrichment API to add extra contextual data for the Memory Agent.

Getting started

Ready to start building? Here's how to get going:

1. Sign up for accounts on Unified.to and Langbase
2. Join our Discord community to connect with other developers
3. Keep an eye on our blog for upcoming guides in this series

Looking ahead

The combination of Unified.to and Langbase opens up exciting possibilities for AI application development. As both platforms continue to evolve, you can expect:

• More supported platforms and integrations
• Enhanced AI capabilities through Langbase's Memory Agents
• New unified APIs for different use cases
• Expanded tutorials and example applications

Stay tuned for our upcoming tutorials that will dive deep into each use case, providing concrete examples and code you can use in your own applications.