Insights, tutorials, and updates from the VectorBase team. Learn about RAG, vector databases, and building AI-powered applications.
We've completely rebuilt our embedding pipeline, achieving 3x faster processing and 40% better retrieval accuracy. Here's what's new and how to upgrade.
Learn how to create an intelligent support bot that answers questions from your documentation using VectorBase's RAG API and n8n workflows.
Chunk size matters. We dive deep into different chunking strategies and show you how to optimize for your specific use case.
Our new Notion integration automatically syncs your pages and databases. Here's how to set it up and best practices for organization.
As we crossed 10M indexed vectors, we encountered and solved numerous scaling challenges. Here's what we learned about pgvector at scale.
Both approaches have their place. We break down the tradeoffs and help you decide which is right for your use case.
Everything you need to know about deploying VectorBase on your own infrastructure, from Docker setup to production hardening.
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