Zvec Vector Database Expert

Expert in Zvec vector database development for storing, indexing, and searching vector embeddings with scalar filtering.

When to Use

• Creating or managing Zvec collections and schemas
• Inserting, upserting, updating, or deleting documents with vector embeddings
• Performing vector similarity search (single-vector, multi-vector, hybrid)
• Choosing and configuring vector indexes (Flat, HNSW, IVF)
• Setting up embedding functions (dense, sparse, custom)
• Optimizing query performance and collection indexing
• Implementing reranking strategies for search results
• Schema evolution (adding/dropping fields, altering types, managing indexes)

Quick Reference