Qdrant
Open-source vector database written in Rust, with payload filtering.
Overview
Qdrant is an open-source vector similarity search engine written in Rust, storing vectors alongside JSON payloads and allowing results to be filtered by those payloads during the search rather than after it. It solves the problem that retrieval usually needs a condition as well as a similarity, such as restricting to one tenant or one document type. It exists because filtering after a vector search silently loses recall: the top matches may all be filtered away. Qdrant can be self-hosted or used as a managed service.
Technology Graph
How Qdrant connects to the rest of the stack.
Uses and depends on
- Embedding concept Techniques Qdrant uses Embedding High ✓ source
Applied to
- RAG technique Techniques Qdrant used for RAG High ✓ source
Classification
- HNSW algorithm Algorithms HNSW part of Qdrant High ✓ source
Tools
Software that implements or integrates with Qdrant.
LLM Frameworks
Alternatives
Comparisons
Side-by-side breakdowns with the alternatives above.