Qdrant is a self-hostable vector database.
A quick-start guide is here: https://qdrant.tech/documentation/quickstart/
It is useful when combined with n8n as n8n offers a nice integration.
Run Qdrant locally, after pulling it with docker:
docker run -p 6333:6333 -p 6334:6334 \
-v "$(pwd)/qdrant_storage:/qdrant/storage:z" \
qdrant/qdrant
Distances
Qdrant offers the following distances:
- Cosine
- Euclid
- Dot
- Manhattan Also see here: https://qdrant.tech/documentation/concepts/search/#metrics