Transforming the “High Difficulty” into “Low Difficulty”: How Kyndi's Answer Engine is Democratizing Large Language Model Implementation for Enterprises

In our opinion, the recent Gartner^® report¹ on Large Language Model (LLM) Design Patterns has brought an interesting insight to the fore: not all LLM implementations are created equal. Some are relatively straightforward, while others can pose significant challenges, requiring expert understanding and significant resources.

The LLM Design Patterns Spectrum

At one end of the spectrum, Gartner designates the “Use LLMs 'As Is’” model as “Low Difficulty.” We believe this is due to the simplicity of this pattern: enterprises simply need to interact with the large language model, which forms the single component of the solution.

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At the other end of the spectrum, the “LLM with Document Retrieval or Search” pattern is designated as “High Difficulty”. We think it is because the architecture for this pattern involves integrating and maintaining multiple components besides the large language model itself, such as a search engine, embedding models, or vector databases. These additional components must be either built in-house or acquired separately, making it a complex, resource-heavy task for enterprises to undertake independently.

Kyndi: Simplifying the Complex

Enter Kyndi, an innovative solution transforming how enterprises can transform the “High Difficulty” LLM pattern to a “Low Difficulty” alternative.

Kyndi has developed an integrated, end-to-end Answer Engine specifically designed to handle the “LLM with Document Retrieval or Search” design pattern. This unique solution brings together all the components required for this pattern into one cohesive whole.

The Power of the Integrated Answer Engine

By integrating large language model capabilities with a sophisticated AI-powered search system, Kyndi's Answer Engine provides a seamless solution to the significant challenges posed by this complex LLM design pattern.

Enterprises no longer need to navigate the lengthy and time-consuming complex tasks of acquisition, integration, and calibration of these different components. Instead, they can rely on Kyndi's integrated solution, built from the ground up to effectively addresses the “LLM with Document Retrieval or Search” pattern.

This streamlined approach reduces the complexity of implementing and maintaining this pattern and cuts down the time and resources needed to get it up and running by 90%.

The Kyndi Advantage

What sets Kyndi apart is its comprehensive solution that covers all aspects of this complex design pattern. Enterprises seeking to leverage the power of the “LLM with Document Retrieval or Search” pattern can do so effortlessly by simply opting for Kyndi's Answer Engine.

By transforming what was once a “High Difficulty” implementation into a “Low Difficulty” one, Kyndi is democratizing access to sophisticated large language model capabilities. This ensures more enterprises can leverage the immense potential of advanced language processing models to drive business value and innovation now. 

Kyndi's Answer Engine is not just a powerful solution for the “LLM with Document Retrieval or Search” pattern—it's a game-changer for enterprises looking to harness the power of large language models without the associated complexity, resource drain, and accuracy issues.

1. Gartner, AI Design Patterns for Large Language Models, Published 10 May 2023

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

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