Vector Database Optimization with n8n: Metadata, Text Splitting, & Embeddings

In this video, I break down the essential concepts of inserting data into a vector database, including embeddings, loading, metadata, and text splitting. These are critical for creating effective Retrieval-Augmented Generation (RAG) systems and building a strong knowledge base. Using tools like n8n and Pinecone, I’ll guide you step-by-step through practical examples to help you master these foundational skills. Whether you're new to vector databases or looking to improve your AI agent systems, this tutorial is for you!