Introduction to Modern Database Technologies

Learn Vibe Coding provides comprehensive tutorials on modern database technologies including vector search, full-text search, and database compatibility for AI applications. Master building intelligent applications with our practical, hands-on guides.

Key Features

• Vector Search: Native vector operations for embeddings and similarity search
• Full-Text Search: Powerful text search capabilities built into the database
• MySQL Compatible: Use existing tools and knowledge with modern AI capabilities
• Distributed SQL: Scale horizontally while maintaining ACID transactions

Getting Started

Our tutorials make it easy to learn how to build AI-powered applications. Whether you're working with embeddings, implementing RAG systems, or building multimodal search, our comprehensive guides have you covered.

import database_library

# Connect to your database
db = database_library.connect("your-connection-string")

# Create a table with vector fields
class Document(TableModel):
    __tablename__ = "documents"

    id: int = Field(primary_key=True)
    text: str = Field()
    text_vec: list[float] = embed_fn.VectorField(
        source_field="text",
    )

What Makes Our Approach Different?

Traditional AI applications require multiple databases and complex integrations:

• Vector databases for embeddings
• Traditional databases for structured data
• Search engines for text queries
• Custom glue code to connect everything

Learn Vibe Coding teaches you how modern platforms unify all of these capabilities into single, coherent systems that speak SQL.