Qdrant
Open source vector database with a managed cloud that provides high recall search filtering and production ready APIs for embedding powered apps at scale with a free starter cluster.
Overview
Qdrant is a high performance vector database built for production search recommendation and retrieval augmented generation. It stores dense embeddings alongside structured payloads then offers fast nearest neighbor search with powerful filtering and collections management. Developers run Qdrant as an open source service or choose Qdrant Cloud which includes a free forever starter cluster and managed scaling across regions.
The API is simple for inserts queries and updates and clients exist for popular languages. Features like snapshots sharding replication HNSW indexes and distributed deployments keep performance predictable under load. Teams adopt Qdrant to power semantic product search multimodal catalogs and knowledge bases while maintaining strict governance.
Pricing for Cloud is based on resources with a free 1 GB tier and paid options that scale with pods and storage.
Key features
- Free Starter Cluster: Launch a managed cluster with one gigabyte free so teams prototype without budget approvals
- Fast ANN Search: HNSW based vectors with payload filtering and compound conditions enable accurate retrieval under load
- Simple API and SDKs: Insert query update and manage collections using clients for Python Rust JavaScript and more
- Filters and Payloads: Store metadata and filter by attributes to build constrained and personalized search reliably
- Snapshots and Backups: Use snapshotting and backup tools to protect data and support regulated environments
- Horizontal Scaling: Sharding replication and multi pod setups support growth and high availability requirements
- Observability Hooks: Metrics logs and alerts integrate with dashboards for capacity and reliability planning
- Cloud and Hybrid: Choose fully managed cloud or hybrid models that meet data residency and compliance needs
Best for
- Build RAG systems that retrieve passages with attribute filters for grounded answers
- Power semantic product search that mixes vector similarity with brand inventory and price signals
- Serve recommendations for media or listings that combine embeddings with user or content attributes
- Index multimodal assets like images audio and text to unify retrieval across catalogs
- Prototype discovery features quickly using the free cloud tier then scale to dedicated pods
- Back up and migrate collections with snapshots for safety and disaster recovery
- Expose search services behind APIs for partners with quotas and observability
- Meet residency or compliance by choosing regions and hybrid deployment models
Capabilities
ANN and Filters
Execute nearest neighbor lookups with payload filters and compound conditions to keep results accurate and fast for users.
Snapshots and Backups
Protect collections using snapshots and backups so compliance and recovery needs are covered in production.
Shards and Replicas
Add shards replicas and pods to grow throughput and availability while keeping latency predictable.
Cloud or Hybrid
Run self hosted open source or choose managed cloud and hybrid to match residency and governance requirements.
Frequently Asked Questions
How does pricing start on Qdrant Cloud?
The pricing page shows a free one gigabyte forever cluster with no credit card required and paid pods that scale by resources and storage as usage grows.
Is Qdrant open source and self hostable?
Yes Qdrant is open source and can run on your own infrastructure with the same core APIs used by the managed cloud service.
Can I filter by structured fields during vector search?
Yes payload filtering supports conditions and compound queries so retrievals can be constrained and personalized.
What indexing algorithm does Qdrant use?
Qdrant relies on HNSW based indexes and supporting structures to keep recall and latency strong at scale.
How do I back up or migrate data safely?
Use snapshots and backup tooling to capture collections then restore or migrate while maintaining integrity and uptime.
Does Qdrant support multi region or hybrid?
Managed cloud offers multiple providers and regions and hybrid options for customers with residency requirements.
How do I observe performance and capacity needs?
Metrics logs and alerts integrate with dashboards so teams plan resources and maintain reliability over time.
Can I use Qdrant for multimodal assets like images or audio?
Yes Qdrant stores embeddings for text images audio and more with metadata that enables cross modal retrieval and filtering
