Bring Rag
to Pydantic AI

Intertwine the open-source Verba (by Weaviate) ecosystem natively into your conversational AI IDE. Execute powerful Retrieval-Augmented Generation processes and manage your localized knowledge bases simply by chatting.

What you can do

• Augmented Queries — Cast a question to your agent and have it retrieve fully synthesized answers from the Verba engine completely backed up by exact document citations.
• Knowledge Management — Insert new context text, list all ingested documents, retrieve the deeply embedded raw data of any ID, or remove dead knowledge dynamically without Web UIs.
• Health Checks — Request system configurations directly via chat to ensure your local LLM connections, embedding models, and cluster health are firing effectively.

How it works

1. Ensure your local or cloud Verba instance is running
2. Supply your Verba API URL and API Key (if authenticated)
3. Ask Claude or Cursor to query, retrieve, or insert document structures intuitively.

Who is this for?

• RAG Developers — quickly add or delete text chunks to evaluate changes in embedding fidelity directly inside your IDE coding session.
• Knowledge Managers — query your dense technical manuals using semantic search and receive the verified text snippets instantly.
• Open Source Hobbyists — orchestrate your personal Weaviate/Verba RAG stacks strictly through the programmatic conversational layer.