Introduction to Vector Databases

Vector databases enable agents to store and retrieve information semantically.

Why Vectors?

Traditional databases search by exact matches. Vector databases search by meaning:

• "autonomous agent" finds "self-directed AI system"
• Handles synonyms, related concepts, and context

Popular Solutions

• Pinecone
• Weaviate
• Qdrant
• Supabase Vector

Use Cases

• Long-term agent memory
• RAG (Retrieval Augmented Generation)
• Semantic search over documents
• Contextual recommendations