Qdrant
Vector database and similarity search engine used for semantic retrieval and metadata filtering.
- Main use case
- Production vector search for RAG applications.
- Open source
- Open source
- Self-hosting
- Yes
- Cloud
- Yes
- Pricing note
- Verify cloud pricing from official source.
- Target users
- developers, AI engineers, platform teams
Strengths
- Vector search with filtering
- Self-host and cloud options
- Commonly used in RAG stacks
Limitations
- Requires database operations knowledge
- Exact performance depends on workload
How to evaluate this tool
- Test Qdrant with a small representative corpus.
- Verify official documentation, pricing, licensing, and deployment options.
- Measure retrieval quality, latency, and operational complexity.
- Check whether the team can maintain ingestion, updates, logs, and evaluation.