1 रिपॉजिटरी
Transformations that convert raw tensor data into fixed-dimension embedding vectors.
Distinct from Tensor Transformations: Distinct from general tensor transformations by focusing specifically on the conversion to embeddings for retrieval.
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Infinity is a distributed vector database and multimodal vector store designed to manage large-scale datasets for retrieval and similarity search. It serves as a backend for large language model applications and retrieval augmented generation pipelines by storing and retrieving dense vectors, sparse vectors, and full-text data. The system functions as a hybrid search engine, combining vector embeddings and full-text search with reranking algorithms to identify the most relevant documents. It supports multimodal data storage, allowing the maintenance of diverse data types including tensors, st
Transforms two dimensional tensor data into fixed dimension embedding vectors during the data insertion process.