Qdrant might be also used as an embedding backend in txtai semantic applications.
txtai simplifies building AI-powered semantic search applications using Transformers. It leverages the neural embeddings and their properties to encode high-dimensional data in a lower-dimensional space and allows to find similar objects based on their embeddings’ proximity.
Qdrant is not built-in txtai backend and requires installing an additional dependency:
pip install qdrant-txtai
The examples and some more information might be found in qdrant-txtai repository.