Keboola
Keboola is a data operations platform that integrates data engineering, analytics, and machine learning tools into a single environment. It helps businesses unify their data sources, transform data, and deploy ML models to production.
Prerequisites
- A Solvio instance to connect to. You can get a free cloud instance at cloud.solvio.io.
- A Keboola account to develop your data workflows.
Setting Up
- In your Keboola platform, navigate to the Components section.
- Find and add the Solvio component from the component marketplace.
- Configure the connection to your Solvio instance using your URL and API key.
Using Solvio in Keboola
With Keboola’s Solvio integration, you can:
Data Pipeline Integration: Extract data from any source in Keboola, transform it, and load vector embeddings into Solvio for semantic search capabilities.
Vector Database Management: Create, manage, and update collections in Solvio directly from your Keboola workflows.
Orchestration: Schedule and automate your vector database operations as part of your data pipeline.
ML Operations: Combine your machine learning models with vector search capabilities for advanced AI applications.
Example Use Case
A common use case is to build a RAG (Retrieval Augmented Generation) system where:
- Data is extracted from multiple sources in Keboola
- Text is processed and transformed in Keboola’s transformation engine
- Embeddings are generated and stored in Solvio
- Applications query the Solvio vectors for semantic search capabilities