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April 02, 2025 · Amsterdam

Unbody: Agentic RAG Chatbots

This talk demonstrates building an agentic RAG chatbot by ingesting and enhancing unstructured web data using Unbody’s tools, culminating in a functional chatbot.

Overview
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Tech stack
  • Next
    Next.js is the full-stack React framework: it delivers high-performance web applications via hybrid rendering and powerful, Rust-based tooling.
    This is the React Framework for production: Next.js enables you to build full-stack web applications with zero configuration and maximum efficiency. It supports a hybrid rendering approach (Server-Side Rendering, Static Site Generation, and Incremental Static Regeneration) for optimal speed and SEO performance. Key features include React Server Components, Server Actions for running server code directly, and the App Router for advanced routing and nested layouts. Developed by Vercel, it leverages Rust-based tools like Turbopack and the Speedy Web Compiler for the fastest possible builds and a superior developer experience.
  • Vercel
    Vercel is the Frontend Cloud: a unified platform for building, deploying, and scaling modern web applications, including Next.js, with performance-focused global infrastructure.
    Vercel delivers a frictionless developer experience for the modern web, focusing on the 'Develop, Preview, Ship' workflow. As the creator and maintainer of the Next.js framework, Vercel offers first-class support for full-stack React applications, alongside other popular frameworks like SvelteKit and Nuxt. Its core value is instant, Git-based deployment (e.g., automatic preview environments for every pull request) and automatic scaling via serverless functions (Edge Functions) and a global Content Delivery Network (CDN). This infrastructure ensures high performance, low latency, and zero-configuration scaling for applications used by companies like Apple and IBM.
  • Unbody
    A headless AI engine that transforms your fragmented data into a unified GraphQL API for RAG and semantic search.
    Unbody automates the complex pipeline of building AI-native applications. It connects directly to sources like Google Drive, Slack, and Discord, handling the heavy lifting of data extraction, chunking, and vectorization. By consolidating these disparate streams into a single GraphQL or REST endpoint, it allows developers to deploy production-ready semantic search and generative features without managing separate vector databases or manual ETL pipelines.

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