Verba
Verba is a community-driven, open-source Retrieval-Augmented Generation (RAG) application that provides an end-to-end, user-friendly interface for building RAG workflows on top of a vector database, showcasing practical semantic search and retrieval patterns with Weaviate.
About this tool
Verba
Website: https://github.com/weaviate/verba
Category: LLM Tools
Tags: RAG, semantic-search, open-source
Vendor / Brand: Weaviate
Overview
Verba is a community-driven, open-source Retrieval-Augmented Generation (RAG) application. It offers an end-to-end, user-friendly interface for building RAG workflows on top of a vector database, demonstrating practical semantic search and retrieval patterns using Weaviate.
Features
- End-to-end RAG application: Provides a complete setup for Retrieval-Augmented Generation workflows.
- Weaviate integration: Built to work on top of a Weaviate vector database, using it for storage, semantic search, and retrieval.
- Semantic search: Implements semantic search capabilities as part of the RAG pipeline.
- Retrieval patterns: Showcases practical retrieval patterns and best practices for building RAG systems.
- User-friendly interface: Frontend included (in the
frontenddirectory) for interacting with the RAG chatbot and workflows. - Python package: Packaged with
setup.pyand related packaging files (MANIFEST.in,pypi_commands.sh) to allow installation and use as a Python library or service. - Docker support: Includes a
Dockerfileanddocker-compose.ymlfor containerized deployment and easy local setup. - Technical documentation: Additional docs such as
TECHNICAL.md,FRONTEND.md, andPYTHON_TUTORIAL.mdfor implementation, extension, and usage guidance. - Community-focused: Structured as a community edition project with contribution guidelines (
CONTRIBUTING.md) and changelog (CHANGELOG.md). - Open source license: Distributed under an open-source license (see
LICENSEfile in the repository).
Typical Use Cases
- Building and experimenting with RAG chatbots backed by Weaviate.
- Prototyping semantic search applications using vector databases.
- Learning and demonstrating RAG and retrieval patterns in practical setups.
Pricing
- Open Source / Free: Verba is an open-source project available at no cost under its repository license.
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