Best Vector Database for RAG: Qdrant vs. Weaviate vs. Pinecone
Vector databases power the retrieval layer in RAG workflows by storing document and query embeddings as high‑dimensional vectors. They enable fast similarity searches based on vector distances. We benchmarked six vector database providers, focusing on their pricing structures and performance: Vector database comparison: Pricing & performance In this benchmark, we used: Estimated monthly costs are
Vector databases power the retrieval layer in RAG workflows by storing document and query embeddings as high‑dimensional vectors. They enable fast similarity searches based on vector distances. We benchmarked six vector database providers, focusing on their pricing structures and performance: Vector database comparison: Pricing & performance In this benchmark, we used: Estimated monthly costs are
