---
title: "Deploy Verba (RAG Chatbot)"
description: "Retrieval Augmented Generation (RAG) chatbot powered by Weaviate"
category: "AI/ML"
url: https://railway.com/deploy/QFa7Oq
---

# Deploy Verba (RAG Chatbot)

Retrieval Augmented Generation (RAG) chatbot powered by Weaviate

**[Deploy Verba (RAG Chatbot) on Railway](https://railway.com/template/QFa7Oq)**

Machine-readable deploy manifest (JSON, validated by TemplateCI): https://railway.com/deploy/QFa7Oq/manifest.json

- **Creator:** chin's Projects
- **Category:** AI/ML
- **Total deploys:** 21

## Template content

### Verba

- **Source:** https://github.com/chinpeerapat/Verba
- **Public domain:** Yes

### Weaviate https://weaviate.io/img/site/weaviate-logo-light.png

- **Image:** semitechnologies/weaviate:latest
- **Public domain:** Yes

## Documentation

Verba, developed by Weaviate, is an open-source Retrieval-Augmented Generation (RAG) application designed to provide personalized, AI-driven answers using your own data. Its modular architecture allows for easy customization and integration with various AI models and data sources.

Key Features:
	•	Data Ingestion: Verba supports importing various data formats, including text files, PDFs, and GitHub repositories. It utilizes tools like UnstructuredIO for seamless data ingestion.
	•	Data Chunking: The application offers multiple chunking strategies, such as token-based and sentence-based chunking, to segment documents into manageable pieces for efficient processing. 
	•	Embedding and Retrieval: Verba integrates with embedding models from providers like OpenAI, Cohere, and Hugging Face. It uses Weaviate’s vector database for storing and retrieving data based on semantic relevance. ￼
	•	Answer Generation: The platform supports various language models, including GPT-4o to generate accurate and contextually relevant answers.
	•	User Interface: Verba features a user-friendly web interface that allows for easy data upload, management, and interaction. Users can view sources directly in the UI, with highlighted chunks for transparency. 

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