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Welcome to the home of the RAG-Buddy documentation. Jump directly to the section you need or use the search bar to find what you are looking for.

RAG-Buddy Documentation

What services does RAG-Buddy provide and how can they help you improve your RAG setup?

Introduction to RAG-Buddy

RAG-Buddy provides services to enhance the capabilities of the Retrieval Augmented Generation with Citation (RAG+C) system. This section provides an overview of Retrieval Augmented Generation with Citation (RAG+C), its purpose, and its mechanics.

RAG with Citation

This section provides an overview of Text Classification, its purpose, and its mechanics.

Text Classification

Add RAG-Buddy to your RAG pipeline efficiently in five minutes or less.

RAG-Buddy Quickstart

Create your RAG-Buddy account and set up a project.

Setting Up

This section outlines the steps and best practices for integrating and utilizing RAG-Buddy within your RAG pipeline. The first step is to choose the right endpoint.

Endpoint Selection

The Proxy Endpoint serves as a straightforward way to enhance your existing LLM setup with RAG-Buddy capabilities.

Proxy Endpoint

This section guides you through integrating RAG-Buddy into your LLM pipeline using the REST API Endpoint, detailing the steps for a more customized and controlled implementation.

REST API Endpoints

RAG-Buddy integration and client code examples

Code examples

FAQs

RAG-Buddy API Endpoints reference and playground

Introduction

RAG-Buddy API endpoint for the Text-Classification use case.

RAG-Buddy API endpoint for the RAG-Citation use case.

Rag Citation

RAG-Buddy Proxy endpoint to transparently read and write to cache and forward requests to the LLM API.

Get Started

Guidebook

RAG-Buddy Documentation

RAG-Buddy

RAG-Buddy Quickstart

Guidebook

API Reference