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Verba

Open-source RAG chatbot powered by Weaviate - chat with your data

★ 7,712 GitHub BSD-3-Clause ragweaviatechatbotknowledge-basedocument-qavector-search RAG & Wissen

Überblick

Verba is an open-source Retrieval Augmented Generation (RAG) chatbot built on Weaviate. It provides a user-friendly interface to ingest, search, and chat with your documents using LLMs. With 7700+ GitHub stars, Verba supports multiple embedders, LLM providers, and offers a full Docker deployment. Features include interactive data exploration, API key management, multi-modal RAG, and a visual dashboard for managing your knowledge base. Perfect for teams wanting a ready-to-use RAG solution without building from scratch.

Anforderungen

Min vCPU
1
Min RAM
2048 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
4096 MB
Rec Disk
20 GB

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Affiliate-Hinweis

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  verba:
    image: semitechnologies/verba:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/verba:/data

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Anleitungen & Artikel

How to Deploy Verba with Docker: Step-by-Step Setup Guide

Step-by-step guide to deploy Verba RAG chatbot with Docker Compose, including Weaviate setup, configuration, and troubleshooting tips.

Jun 28, 2026

What Is Verba? A Complete Guide to Your Self-Hosted RAG Chatbot

Verba is an open-source RAG chatbot built on Weaviate for self-hosted document Q&A. Learn about its features, architecture, and deployment options.

Jun 28, 2026