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A specialized database designed to store, index, and search high-dimensional vectors (numerical representations of data). Essential for semantic search, AI memory, and RAG applications.
Using Pinecone or Weaviate to store document embeddings, enabling an AI chatbot to find semantically similar content when answering questions.
Vector databases enable AI applications to perform semantic search - finding related content by meaning rather than exact keyword matches.
An AI framework that retrieves relevant data from external knowledge sources (like databases or docu...
A numerical representation of text, images, or other data as a vector in high-dimensional space. Sim...
A type of artificial intelligence model trained on vast amounts of text data that can understand, ge...
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