Search & KnowledgeLetter V1 min read
In plain English
Storage optimized for similarity search over high-dimensional embeddings.
Full definition
Vector databases index embeddings for fast nearest-neighbor lookup, enabling semantic search at scale for RAG and recommendations.
AshnaAI handles vectorization and storage for uploaded knowledge so builders can focus on agent behavior.
Continue learning
RAG done right: ingestion and chunking
Read the full article on the AshnaAI blog.
Open articleRelated terms
Ready to put these concepts to work?
AshnaAI helps you build AI agents without code—search, automate, and deploy with the terms you just learned.
Continue exploring
Back to full glossary