pgvector

What problem does it solve?

This Skill enables powerful vector similarity search directly within your PostgreSQL database, eliminating the need for separate vector databases and simplifying your architecture.

Core Features & Use Cases

• Vector Storage & Indexing: Store and index high-dimensional vector embeddings using HNSW or IVFFlat indexes.
• Semantic Search: Implement features like RAG, semantic search, and image similarity search.
• Hybrid Search: Combine keyword search (BM25) with vector search for more robust results.
• Use Case: Integrate semantic search into your e-commerce platform to recommend products based on user queries or image similarity.

Quick Start

Use the pgvector skill to search for listings similar to 'modern minimalist furniture'.