Billing and Payments FAQs

Integration FAQs

FAQs

Helvia RAG-Cache Documentation

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

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

RAG-Buddy integration and client code examples

Code examples

RAG-Buddy API Endpoints reference and playground

Introduction

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

Text Classification

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.

Proxy

Helvia.ai

RAG Cache

Blog

API Reference

Dashboard

Support

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.

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.

Get Started

Guidebook

FAQs

Billing and Payments FAQs

Integration FAQs

Get Started

Guidebook

​Billing and Payments FAQs

​Integration FAQs

Billing and Payments FAQs

Integration FAQs