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Vector Embeddings Demo

Stable version 2.0.1 (Compatible with OutSystems 11)
Uploaded on 5 Sep by 
 (1 rating)

Vector Embeddings Demo

Demo application on how to use OpenAI embeddings and Qdrant Vector Database to add semantic similiarity search capability to an OutSystems application.
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This is a sample application showing how to use create Vector Embeddings from text using OpenAI embeddings endpoint and store and query embeddings using Qdrant Vector Database.

Vector embeddings are numerical representations of text, images, audio or video, provided by Large Language Models. In combination with a vector database like Qdrant they are a key element for recommendation systems or semantic search.

Release notes (2.0.1)
  • Updated dependencies after updating Qdrant Connector
License (2.0.1)
Reviews (1)
4 Dec (5 days ago)
in version 2.0.1
Nice component