Run RAG chatbot workflows with Verba
Ingest a bounded document set into Verba, configure retrieval and model providers, then review grounded chatbot answers before handing context to an agent workflow.
Prerequisites
Verba, Python 3.10 through 3.12 or Docker, Weaviate embedded/cloud/Docker deployment, configured model and embedding provider keys as needed.
Installation
Use the upstream install or setup path that matches your environment:
- pip install goldenverba
Requirements and caveats from upstream:
- Quickstart: Deploy with Docker
- | Docker Support | ✅ | Verba is deployable via Docker |
Basic usage or getting-started notes:
Extracted from upstream docs: https://raw.githubusercontent.com/weaviate/Verba/HEAD/README.md