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23 lines
1.0 KiB
Markdown
23 lines
1.0 KiB
Markdown
---
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title: txtai
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short_description: "Use Qdrant as the embedding backend for txtai semantic applications, powering similarity search over Transformer-based neural embeddings."
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description: "Configure txtai to use Qdrant as its embedding backend, building semantic search apps over Transformer-based neural embeddings with high-performance vector search."
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aliases: [ ../integrations/txtai/ ]
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---
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# txtai
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Qdrant might be also used as an embedding backend in [txtai](https://neuml.github.io/txtai/) semantic applications.
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txtai simplifies building AI-powered semantic search applications using Transformers. It leverages the neural embeddings and their
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properties to encode high-dimensional data in a lower-dimensional space and allows to find similar objects based on their embeddings'
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proximity.
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Qdrant is not built-in txtai backend and requires installing an additional dependency:
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```bash
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pip install qdrant-txtai
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```
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The examples and some more information might be found in [qdrant-txtai repository](https://github.com/qdrant/qdrant-txtai).
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