# Qdrant

Vector search engine for semantic retrieval with payload filters and hybrid query support.

- Company: Qdrant
- Category: Platforms & Infrastructure
- Business model: Freemium
- Availability: unknown
- Launched: Not recorded
- Tags: vector, developer-tools
- Website: https://qdrant.tech/
- Documentation: https://qdrant.tech/documentation/
- Pricing page: https://qdrant.tech/pricing/
- License: Not recorded
- Canonical URL: https://globalaiproductindex.com/products/qdrant/
- Record updated: 2026-11-03

Typical uses include Semantic retrieval for RAG; Search over embedded application data. Documented capabilities: Dense, sparse and multivector retrieval; Payload filtering and hybrid queries; Self-hosted server and managed cloud deployment.

## Key features

- Dense, sparse and multivector retrieval
- Payload filtering and hybrid queries
- Self-hosted server and managed cloud deployment

## Use cases

- Semantic retrieval for RAG
- Search over embedded application data

## Pricing

Open-source Qdrant can be self-hosted. Cloud Free includes 1 GB RAM and 4 GB disk; Standard is resource-based for a dedicated cluster. Embedding-provider costs and larger-cluster charges are separate from the free database tier.

## FAQ

**Where does Qdrant fit in a workflow?**

Vector search engine for semantic retrieval with payload filters and hybrid query support. Dense, sparse and multivector retrieval.

**What costs and limits should I compare before choosing Qdrant?**

Open-source Qdrant can be self-hosted. Cloud Free includes 1 GB RAM and 4 GB disk; Standard is resource-based for a dedicated cluster. Embedding-provider costs and larger-cluster charges are separate from the free database tier.

## Sources

- [Qdrant — official product](https://qdrant.tech/)
- [Qdrant — official documentation and terms](https://qdrant.tech/documentation/)
- [Qdrant — official documentation and terms](https://qdrant.tech/pricing/)

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Data from the [Global AI Product Index](https://globalaiproductindex.com/), licensed CC BY 4.0.