Similarity matching using compute-in-memory
AssigneeOpenAI OpCo, LLC
InventorMohammed Elneanaei Abdelmoneem FOUDA
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AssigneeOpenAI OpCo, LLC
InventorMohammed Elneanaei Abdelmoneem FOUDA
Estimating the term…
Similarity matching operations in retrieval-augmented generation (RAG) systems face challenges in balancing retrieval latency, memory bandwidth, and energy efficiency. To address these challenges, the disclosed technology provides a memory system architecture including similarity circuitry configured to perform similarity matching within or near the memory. The similarity circuitry receives a search vector, determines similarities between the search vector and stored embedding vectors, identifies one or more matched embedding vectors based on the similarities, and outputs information corresponding to the matched embedding vectors. Only the matched embedding vectors are transferred out of the memory system, substantially reducing data movement compared to conventional approaches. By performing similarity matching within or near the memory, the disclosed technology improves energy efficiency and reduces latency for retrieval operations.
A memory system comprising:
A method comprising:
A memory system, comprising:
Dependencies are inferred from the claim text.