Lattice
Skip to content

Qdrant

qdrant.techdatabaseself-hosted

Qdrant is a self-hosted database in the Retrieval & Vector Stores layer of the AI stack. Rust vector database with rich filtering payloads.

By Lattice editorial · Facts verified · method

licence
Apache-2.0
language
Rust
cost
free

Use Qdrant when

Vector-first workloads with heavy metadata filtering at scale.

Skip Qdrant when

You want no new datastore to operate.

Holds the embeddings, returns the few that matter. — that is what this layer of the stack is answerable for. See the full Retrieval & Vector Stores section for the rest of the options.

Visit qdrant.techCompare with another tool
Badge this entry
Lattice badge: Qdrant verified 2026-09
[![Qdrant on Lattice: verified 2026-09](https://lattice.kunjshah.in/retrieval-vector-stores/qdrant/badge.svg)](https://lattice.kunjshah.in/retrieval-vector-stores/qdrant)

Quick answers

Is Qdrant open source?
Yes. Qdrant is open source under the Apache-2.0 licence. It is free to use.
What are the alternatives to Qdrant?
The closest alternatives to Qdrant are Weaviate, Milvus and pgvector.

Compared in

Reading on retrieval

Alternatives to Qdrant

compare 3 →

Listed as an alternative to

  • pgvector
  • Weaviate
  • Chroma
  • Pinecone
  • Milvus
  • Turbopuffer
  • Elasticsearch

Also in retrieval

  • pgvector
  • Weaviate
  • Chroma
  • Pinecone
  • Milvus
  • Turbopuffer
  • Unstructured
  • Elasticsearch
  • Vespa
  • Rerankers
  • Jina AI
  • LangChain Text Splitters
  • Docling
  • LlamaParse