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LLMs in Enterprise

You're reading from   LLMs in Enterprise Design strategies for large language model development, design patterns and best practices

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Product type Paperback
Published in Apr 2025
Publisher Packt
ISBN-13 9781836203070
Length
Edition 1st Edition
Languages
Concepts
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Authors (2):
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Ahmed Menshawy Ahmed Menshawy
Author Profile Icon Ahmed Menshawy
Ahmed Menshawy
Mahmoud Fahmy Mahmoud Fahmy
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Mahmoud Fahmy
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Toc

Utilizing External Memory for Context Management

As the demands on LLMs increase, particularly in tasks that require complex decision-making or continuous interactions over time, the integration of external memory systems, specifically vector stores, has become pivotal. These systems serve as external memory for LLMs, enhancing their ability to manage context by storing and retrieving embeddings of domain-specific data efficiently. This section explores the strategic incorporation of vector storage solutions into LLM frameworks, discussing both the benefits and operationalization challenges of this approach.

Benefits

Extending LLMs with an external memory as shown in Figure 5.1 significantly enhances their contextual awareness. These systems allow LLMs to retain and access vast amounts of detailed information that exceed their immediate processing capacity. This extended capacity is particularly beneficial in scenarios requiring a deep understanding of context or continuity of interaction...

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