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Composable Vector Search Infrastructure

2 posts · Mar 2026 – Aug 2026

What this trail covers

Qdrant is being developed as fundamental infrastructure for AI, emphasizing composable vector search primitives that can be combined at query time. This approach aims to address architectural limitations encountered in production AI workloads, such as RAG and agents, by providing flexible and performant retrieval across diverse environments from edge devices to supercomputers. The focus is on building a robust, long-lasting engine that controls the stack down to assembly, written in Rust for performance and reliability. The company has secured Series B funding to further this mission.

All Qdrant trails
  1. How Bayer Built an Enterprise-Scale Search Engine with Qdrant - QdrantThis post details how Bayer built an enterprise-scale search engine using Qdrant to support over 116,000 employees. It highlights the evolution from a Redis prototype to self-hosted Qdrant and then to Qdrant Hybrid Cloud to meet compliance and operational demands. The system supports omnimodal data (images, text, audio, video) and is central to Bayer's agentic applications, with the Qdrant API exposed directly to LLM agents. Key technical aspects include the use of hybrid search for grounded answers, caching for agent cost control, and continuous optimization of retrieval performance. The scale involves millions of messages and hundreds of thousands of documents across multiple collections.
  2. We Raised $50M to Build Composable Vector Search as Core Infrastructure - QdrantThis post announces a $50 million Series B funding round for Qdrant, reinforcing its mission to build composable vector search as core infrastructure for AI. It reiterates the company's philosophy of building fundamental, long-lasting infrastructure in Rust, controlling the stack down to assembly for predictable low tail latency at scale. The post highlights the importance of composable primitives over fixed pipelines for diverse workloads like RAG and agents, and emphasizes the expansion of Qdrant's reach to edge devices. It also acknowledges community contributions to the engine.