Harnessing Snowflake Cortex Functions for Smarter Document Search: A New Era at Hakkōda

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Learn how Hakkoda continues to make improvements on its document search AI by making use of the latest Snowflake Cortex functions.
August 12, 2024
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At Hakkoda, innovation is at the core of our approach to solving complex problems. One of our pioneering products, Satoru, was developed with the mission of making internal asset discovery seamless, leveraging the power of Generative AI. Satoru marked a significant step forward in how we approached document search within our organization. However, as with many innovative technologies, the initial implementation presented challenges, particularly in terms of architectural complexity. We recognized the need to refine and simplify the system to make it more user-friendly and efficient. Following the Snowflake AI Data Cloud’s recent rollout of Cortex AI, we were also given a unique opportunity to enhance Satoru’s capabilities with the help of Snowflake Cortex functions.

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The Evolution of Document Search at Hakkōda

The journey of Satoru was just the beginning. As technology continued to evolve, so did our understanding of how to improve our internal tools. The introduction of Cortex and the subsequent updates within Cortex Search provided us with the opportunity to reassess and enhance our document search capabilities. Cortex, known for its powerful functions and GenAI capabilities, brought a new level of sophistication and simplicity to the table.

By integrating Cortex Search into our approach, we were able to streamline the process of finding documents, making it more intuitive and accessible for our employees. The complexity that once characterized Satoru’s architecture has been replaced with a more straightforward, yet equally powerful, solution. This transformation has not only improved the user experience but also laid the groundwork for further innovations in how we approach information retrieval.

Meet the Hakkōda Support Engineer

One of the most exciting developments stemming from our efforts to simplify and enhance our internal tools is the introduction of the Hakkoda Support Engineer. This product represents a leap forward in how our internal teams access and utilize information. The Hakkoda Support Engineer is more than just a search tool; it’s a virtual assistant designed to empower our engineers with instant access to the information they need, when they need it.

What makes the Hakkoda Support Engineer even more powerful is its integration as an internal-facing Slack application. This means that employees can access the Support Engineer right within their existing workflow, without needing to switch between different platforms or tools. Whether they’re in the middle of a project or troubleshooting an issue, our engineers can simply send a message in Slack to get immediate assistance.

With the Hakkoda Support Engineer, our internal engineers can now ask for the location of documents directly, bypassing the traditional hurdles of navigating complex file systems. The seamless integration with Slack ensures that information retrieval is as intuitive as sending a message to a colleague. But the capabilities of this product go beyond document search. Engineers can ask code-related questions and receive expert guidance in real time, effectively putting the knowledge of our top talent at their fingertips 24/7.

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A New Era of Problem-Solving

The introduction of the Hakkoda Support Engineer has fundamentally changed the way our employees approach problem-solving. In the past, employees might have had to wait for our senior engineers or leaders to be available to answer questions or provide insights. Now, with the Support Engineer integrated into Slack, those delays are a thing of the past. Our teams can troubleshoot issues, explore solutions, and implement fixes faster than ever before, leading to immense productivity gains across the board.

We like to think of the Support Engineer as having our top talent available on demand, whenever and wherever they are needed. This shift has not only accelerated problem resolution but also empowered our engineers to be more proactive in their work. The result is a more agile, responsive, and efficient workforce, capable of tackling challenges with unprecedented speed and accuracy.

Harnessing the Power of Cortex and Llama 3.1

At the heart of these advancements is the integration of Cortex and the new Llama 3.1 models. These models represent the cutting edge of AI-driven search and data processing capabilities. The results we’ve seen so far are incredibly promising. The combination of Cortex’s robust infrastructure with the sophisticated natural language processing capabilities of Llama 3.1 has enabled us to deliver highly accurate and contextually relevant search results.

This partnership has not only enhanced our document search capabilities but also set a new standard for what is possible with internal information retrieval systems. As we continue to explore the potential of these technologies, we are confident that this is a huge step in the right direction for improving how we manage and utilize our internal resources.

Looking Forward: Leveraging the Latest Snowflake Cortex Functions to Evolve Internal Tools at Hakkōda

The journey of Satoru and the evolution of our internal tools at Hakkoda is a testament to our commitment to continuous improvement and innovation. We are excited about the possibilities that lie ahead as we continue to refine and expand our capabilities with Snowflake Cortex functions and the Llama 3.1 models.

If you’re interested in developing internal document-based search systems or have any questions about how we’ve implemented these solutions at Hakkoda, we encourage you to reach out. Our experience has shown that with the right tools and approach, we can unlock new levels of productivity and efficiency, and we’re eager to share our insights with others who are looking to do the same.

In conclusion, the Hakkoda Support Engineer and the advancements we’ve made in document search are just the beginning. As we continue to innovate and push the boundaries of what’s possible, we’re excited to see how these tools will further transform our organization and the way we work. The future of problem-solving at Hakkoda is here, and it’s brighter than ever.

Ready to explore how targeted AI use cases like Hakoda’s document search AI can help streamline your operations and grow your data technology investments? Let’s talk.

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