Qdrant is an open‑source vector database designed for high‑performance similarity search and AI applications such as RAG, recommendation systems, advanced semantic search, anomaly detection, and AI agents. It provides scalable storage and retrieval of vector embeddings with features like filtering, hybrid search, and production‑grade APIs for integrating with machine learning workloads.
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Qdrant Vector Database
Website: https://qdrant.tech/qdrant-vector-database/
Qdrant is an open‑source vector database designed for high‑performance similarity search and AI applications such as retrieval‑augmented generation (RAG), recommendation systems, advanced semantic search, anomaly detection, and AI agents. It focuses on scalable storage and retrieval of vector embeddings with production‑ready APIs.
A dedicated pricing page is available but detailed plan information is not present in the provided content.
More information: https://qdrant.tech/pricing/
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