landing_page/qdrant-landing/content/documentation/frameworks/txtai.md

title, short_description, description, aliases

title	short_description	description	aliases
txtai	Use Qdrant as the embedding backend for txtai semantic applications, powering similarity search over Transformer-based neural embeddings.	Configure txtai to use Qdrant as its embedding backend, building semantic search apps over Transformer-based neural embeddings with high-performance vector search.	../integrations/txtai/

txtai

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.