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A demo of your own RAG Chatbot with Xata, SvelteKit, LiteLLM, OpenAI and Vercel.

Home Page: https://xata.io/blog/rag-vector-sveltekit-xata

License: MIT License

JavaScript 15.87% CSS 8.85% HTML 1.73% Svelte 22.78% TypeScript 50.77%
litellm openai sveltekit tailwindcss vercel xata ai embeddings vector

xata-rag-chatbot's Introduction

Building a Retrieval-Augmented Generation Chatbot with SvelteKit and Xata Vector Search

Introduction · Tech Stack + Features · Author

Introduction

Learn how to create a Retrieval-Augmented Generation Chatbot using Xata, SvelteKit, LiteLLM, TailwindCSS and Vercel.

Tech Stack + Features

Frameworks

  • SvelteKit – UI framework that uses a compiler to let you write breathtakingly concise components

  • LiteLLM – Call all LLM APIs using the OpenAI format

  • Replicate – Platform to run and fine-tune open-source models

Database

  • Xata - Serverless database platform for scalable, real-time applications.

UI

  • TailwindCSS – CSS framework for building custom designs

Platform

  • Vercel – A cloud platform for deploying and scaling web applications.

Code Quality

  • Prettier – Opinionated code formatter for consistent code style

Author

xata-rag-chatbot's People

Stargazers

Sikandar Bhide avatar  avatar Abhishek Parolkar avatar

Watchers

Rishi Raj Jain avatar

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