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Demo application on how to use OpenAI embeddings and Qdrant Vector Database to add semantic similiarity search capability to an OutSystems application.

Connector for Qdrant vector database. Vector databases efficiently store and manage high-dimensional vectors and are critical for many AI applications like recommender systems or semantic search.

This Pinecone Utility integrates ADA Embeddings and the Pinecone connector to address complex business use cases. It uses ADA to convert documents into vector representations and Pinecone to store these embeddings in a vector database. The utility enables vector-based queries to identify top-matching documents, ensuring high accuracy and relevance. While GenAI APIs like Chat Completion offer similar functionality, this utility enhances OutSystems applications by providing precise, context-aware results and seamless adaptability to new implementations. 

A connector that provides endpoints to Upload, Query, Delete and Fetch vectors using the Upstash vector database