Top vector database alternatives for RAG pipelines

This post expands on the 'Context Engineering for AI' feature thread by providing a comparative analysis of Redis as a vector search solution against dedicated vector databases and PostgreSQL with pgvector. It details the architectural benefits of a unified platform like Redis for RAG pipelines, focusing on reduced infrastructure overhead, operational simplicity, and cost savings through semantic caching. It also introduces and briefly describes several other vector database alternatives, positioning Redis within the broader landscape of AI data infrastructure.