This article breaks down leading open source vector databases, comparing their indexing methods, hybrid search support, deployment options, and integrations with caching or operational data. It highlights trade-offs for production AI workloads—from Redis’s unified real-time platform to specialized tools like Milvus, Weaviate, Qdrant, Chroma, pgvector, and Faiss.